Journal Articles

1. Tung-Ju Hsieh, Wei-Yao Chen, Che-Hao Chang, Yen-Lin Chen, Ming-Li Lin, Shih-Ching Yeh, Yang-Lang Chang and Bormin Huang, 『High-Performance Meshing Processing of Remote Sensing Data on Large Displays,』Journal of Applied Remote Sensing,  accepted, August 2014,  Impact Factor: 0.818 (SCI, EI).

2. Yang-Lang Chang*, Yi Chun Wang, Yi-Shiang Fu, Chin-Chuan Han, Jocelyn Chanussot, Bormin Huang, 『Multisource Data Fusion and Fisher Criterion Based Nearest Feature Space Approach to Landslide Classification,』 IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, accepted, June 2014, Impact Factor : 2.874 (SCI, EI).

3. Yang-Lang Chang, Jin-Nan Liu, Yen-Lin Chen, Wen-Yen Chang, Tung-Ju Hsieh and Bormin Huang, 『Hyperspectral band selection based on parallel particle swarm optimization and impurity function band prioritization schemes,』 Journal of Applied Remote Sensing, accepted, May 2014, Impact Factor: 0.818 (SCI, EI).

4.Hsuan Ren, Yung-Ling Wang, Min-Yu Huang, Yang-Lang Chang*, Hung-Ming Kao, 『Ensemble Empirical Mode Decomposition Parameters Optimization for Spectral Distance Measurement in Hyperspectral Remote Sensing Data,』 Remote Sensing, MDPI, Vol. 6, no. 3, pp. 2069-2083, March 2014, ISSN 2072-4292, Impact Factor: 2.101 (SCI, EI).

5. Yang-Lang Chang, Jin Nan Liu, Chin-Chuan Han*, and Ying-Nong Chen, 『Hyperspectral Image Classification Using Nearest Feature Line Embedding Approach,』 IEEE Transactions on Geoscience and Remote Sensing, Vol. 52 , Issue 1,pp. 278 – 287, March, 2013, ISSN:0196-2892, Impact Factor:  3.467 (SCI, EI).

6. Tung-Ju Hsieh*, Wen-Yew Liang, Yang-Lang Chang, Muhammad T. Satria, and Bormin Huang, 『Parallel Tsunami Simulation and Visualization on Tiled Display Wall Using OpenGL Shading Language,』 Journal of the Chinese Institute of Engineers,iFirst, pp. 1–10, October 10, 2012, Impact Factor: 0.237 (SCI, EI).

7. Tung-Ju Hsieh*, Yang-Lang Chang, and Bormin Huang, 『High-performance visual analytics of terrestrial light detection and ranging data on large display wall,』 Journal of Applied Remote Sensing, Vol. 6, 061502, April 03, 2012, Impact Factor: 0.876 (SCI, EI).

8. Tung-Ju Hsieh*, Shiann-Jong Lee, Yuan-Sen Yang, Yang-Lang Chang, Bormin Huang, Cheng-Kai Chen, and Kwan-Liu Ma, 『High-performance computing and visualization of earthquake simulations and ground-motion sensor network data,』 Journal of Applied Remote Sensing, Vol. 6, 061501, April 03, 2012, Impact Factor: 0.876 (SCI, EI).

9. Muhammad T. Satria, Bormin Huang*, Tung-Ju Hsieh, Yang-Lang Chang, and Wen-Yew Liang, 『GPU Acceleration of Tsunami Propagation Model,』 IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing,Vol. 5, Issue 3, pp. 1014 – 1023, June 13, 2012, ISSN: 1939-1404, Impact Factor:  2.874 (SCI, EI).

10. Yang-Lang Chang*, Tung-Ju Hsieh, Antonio Plaza, Yen-Lin Chen, Wen-Yew Liang, Jyh-Perng Fang, and Bormin Huang, 『Parallel Positive Boolean Function Approach to Classification of Remote Sensing Images,』Journal of Applied Remote Sensing, Vol. 5, 051505, December 01, 2011, NSC 99-2116-M-027-003, Impact Factor: 0.876 (SCI, EI).

11. Jiaji Wu, Tung-Ju Hsieh, Tao Li, Yang-Lang Chang*, and Bormin Huang, 『Digital Signal Processor-based 3D Wavelet Error-resilient Lossless Compression of High-resolution Spectrometer Data,』 Journal of Applied Remote Sensing, Vol. 5,051504, November 28, 2011, Impact Factor: 0.876 (SCI, EI).

12. Yang-Lang Chang*, Kun-Shan Chen, Bormin Huang, Wen-Yen Chang, Jon Atli Benediktsson, and Lena Chang*, 『A Parallel Simulated Annealing Approach to Band Selection for High-Dimensional Remote Sensing Images,』 IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol. 4 , Issue 3, pp. 579-590, August 26, 2011, ISSN: 1939-1404, NSC 99-2116-M-027-003, Impact Factor: 2.874 (SCI, EI).

13. Cheng-Chun Chang, Yang-Lang Chang*, Min-Yu Huang, and Bormin Huang, 『Accelerating Regular LDPC Code Decoders on GPUs,』 IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol. 4 , Issue 3, pp. 653-659, August 26, 2011, ISSN: 1939-1404, NSC 99-2116-M-027-003, Impact Factor: 2.874 (SCI, EI).

14. Lena Chang, Yang-Lang Chang*, Z. S. Tang, and Bormin Huang, 『Group and Region Based Parallel Compression Method Using Signal Subspace Projection and Band Clustering for Hyperspectral Imagery,』 IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol. 4 , Issue 3, pp. 565-578, August 26, 2011, ISSN: 1939-1404, Impact Factor: 2.874 (SCI, EI).

15. Antonio Plaza, Qian Du, Yang-Lang Chang, and Roger L. King, 『Foreword to the Special Issue on High Performance Computing in Earth Observation and Remote Sensing,』 IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol. 4 , Issue 3, pp. 503-507, August 26, 2011, ISSN: 1939-1404, Impact Factor: 2.874(SCI, EI).

16. Antonio Plaza*, Qian Du, Yang-Lang Chang, and Roger L. King, 『High Performance Computing for Hyperspectral Remote Sensing,』 IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol. 4 , Issue 3, pp. 528-544, August 26, 2011, ISSN: 1939-1404, Impact Factor: 2.874 (SCI, EI).

17. Yang-Lang Chang, Cheng-Yen Chiang, and Kun-Shan Chen*, 『SAR Image Simulation with Application to Target Recognition,』 Progress In Electromagnetics Research – PIER, Vol. 119, pp. 35-57, July 19, 2011,Impact Factor: 5.298 (SCI, EI).

18. Yen-Lin Chen, Wen-Yew Liang, Chuan-Yen Chiang, Tung-Ju Hsieh, Da-Cheng Lee, Shyan-Ming Yuan, and Yang-Lang Chang*, 『Vision-based Finger Detection, Tracking, and Event Identification Techniques for Multi-touch Sensing and Displaying Systems,』 Sensors, 11, no. 7: 6868-6892, July 2011, NSC 99-2116-M-027-003, Impact Factor: 1.953 (SCI).

19. Yang-Lang Chang*, 『A Simulated Annealing Feature Extraction Approach for Hyperspectral Images,』 Future Generation Computer Systems, Vol. 27, Issue 4, pp. 419–426, April 2011, NSC 99-2116-M-027-003, Impact Factor: 2.365(SCI, EI).

20. Yang-Lang Chang*, Jyh Perng Fang, Wei-Lieh Hsu, Lena Chang, and Wen-Yen Chang, 『Simulated annealing band selection approach for hyperspectral imagery,』 Journal of Applied Remote Sensing, Vol. 4, 041767, September 2010, NSC 99-2116-M-027-003, Impact Factor: 0.876 (SCI, EI).

21. Wei-Lieh Hsu, Chun-Chien Hsiao, Yang-Lang Chang, and Tsung-Lun Chen 『Vision-based Monitoring Method Using Gray Relational Analysis,』 accepted by IET Computer Vision, 2009, (SCI, EI).

22. Wen-Yew Liang, Tung-Ju Hsie, Muhammad T. Satria, Yang-Lang Chang, Jyh-Perng Fang, and Chin-Chuan Han, 『A GPU-Based Simulation of Tsunami Propagation and Inundation,” accepted by Lecture Notes in Computer Science (EI).

23. Jyh Perng Fang, Yang-Lang Chang, Chih-Chia Chen, Wen-Yew Liang, Tung-Ju Hsieh, and Chin-Chuan Han, 『A Parallel Simulated Annealing approach for Floorplanning in VLSI,” accepted by Lecture Notes in Computer Science (EI).

24. Lena Chang, Z. S. Tang, S. H. Chang, Yang-Lang Chang, 『A region-based GLRT detection of oil spills in SAR images,』 Pattern Recognition Letters, Vol. 26, , pp: 1915–1923, Oct. 2008, (SCI, EI).

25. Yang-Lang Chang, Long-Shin Liang, Chin-Chuan Han, Jyh-Perng Fang, Wen-Yew Liang, and Kun Shan Chen, 『Multisource Data Fusion for Landslide Classification using Generalized Positive Boolean Functions,』IEEE Trans. Geosci. Remote Sensing, Vol. 45, Issue 6, Part 1, pp: 1697-1708, June 2007, NSC 95-2221-E-027-037, (SCI, EI).

26. Jyh-Perng Fang, Yang-Lang Chang, Wen-Yew Liang and Chun-Chieh Lin, 『A Two-dimension Simulated Annealing Band Selection Approach for Hyperspectral Imagery,』 accepted by Journal of Photogrammetry and Remote Sensing, The best student thesis award, Taipei Chapter, Geoscience and Remote Sensing Society, IEEE, NSC 96-2116-M-027-002, 2008.

27. Yang-Lang Chang, and Jyh-Perng Fang, 『A simulated annealing band selection approach for hyperspectral images』, Technical articles on Electronic Imaging & Signal Processing, SPIE Newsroom, Jan. 2007, NSC 95-2221-E-027-037.  (paper on website)

28. Yang-Lang Chang, Jyh Perng Fang, and Chih-Wei Wu, 『A Study on a Greedy Modular Eigenspace Feature Extraction for Chinese Signature Recognition,』 Communication of Institute of Information and Computing Machinery, Vol. 10, No. 2, pp. 75-86, Jun. 2007.

29. Jyh Perng Fang and Yang-Lang Chang, 『Dynamic Power Management using Adaptive Learning Tree,』 Communication of Institute of Information and Computing Machinery, Vol. 10, No. 2, pp. 51-60, Jun. 2007.

30. Wen-Yew Liang, Jywe-Fei Fang, Yang-Lang Chang, and Jyh-Perng Fang, 『Power Analysis of a Flexible and Portable Wi-Fi Storage Device,』 WSEAS Transactions on Circuits and Systems, Vol. 5, Issue 7, pp. 1103-1110, July 2006 (EI).

31. Yang-Lang Chang, Chin-Chuan Han, Hsuan Ren, Kuo-Chin Fan and K.S. Chen, 『Data fusion of hyperspectral and SAR images,』 Optical Engineering, Vol. 43, Issue 8, pp. 1787-1797, August 2004, NSC 93-2212-E-141-001, (SCI, EI).

32. Yang-Lang Chang, Chin-Chuan Han, Kuo-Chin Fan and K.S. Chen, 『A Novel Approach to Hyperspectral Image Classification,』 Journal of Photogrammetry and Remote Sensing, Vol. 9, No. 4, pp. 47-70, the best paper award of The Chinese Society of Aerial Photogrammetry, December 2004.

33. Yang-Lang Chang, Chin-Chuan Han, Fan-Di Jou, Kuo-Chin Fan, K.S. Chen and Jeng-Horng Chang, 『A Modular Eigen Subspace Scheme for High-Dimensional Data Classification,』 Future Generation Computer Systems, Vol. 20, Issue 7, pp 1131-1143, October 2004 (SCI, EI).

34. Fan-Di Jou, Kuo-Chin Fan, Yang-Lang Chang, 『Efficient matching of large-size histograms,』 Pattern Recognition Letters, Volume 25, Issue 3, pp. 277-286, February 2004 (SCI, EI).

35. Yang-Lang Chang, Chin-Chuan Han, Kuo-Chin Fan, K.S. Chen, Chia-Tang Chen and Jeng-Horng Chang, 『Greedy Modular Eigenspaces and Positive Boolean Function for Supervised Hyperspectral Image Classification,』 Optical Engineering, Vol. 42, Issue 9, pp. 2576-2587, September 2003 (SCI, EI).

36. Jeng-Horng Chang, Kuo-Chin Fan and Yang-Lang Chang, 『Multi-Modal Gray-Level Histogram Modeling and Decomposition,』 Image and Vision Computing, Vol. 20(3), pp. 203-216, March 2002 (SCI, EI).

37. Lawrence Y. Deng, Timothy K. Shin, Teh-Sheng Huang, Chun-Hung Hang, Ruei-Xi Chen and Yang-Lang Chang, 『Universal Access for Roaming User via Mobile Agent Technology,』 Tamkang Journal of Science and Engineering, Vol. 5, No. 3, pp. 175-186, 2002.

 

International Conference Papers

1. Yang-Lang Chang, Hsuan Ren, Lena Chang, Wei-Lieh Hsu, Jyh-Perng Fang, Kun-Shan Chen, 『BAND SELECTION FOR HYPERSPECTRAL IMAGES BASED ON PARALLEL PARTICLE SWARM OPTIMIZATION SCHEMES,』 Invited paper in Proc. of IEEE International Geoscience and Remote Sensing Symposium IGARSS ‘09, July 12-17, 2009, Cape Town, South African, NSC 97-2116-M-027-002, (EI).

2.Yang-Lang Chang, Zhi-Ming Chen, Hsuan Ren, Jyh-Perng Fang, Wen-Yew Liang, Tung-Ju Hsieh, Kun-Shan Chen, 『K-WAY TREE CLASSIFICATION BASED ON SEMI-MATROID STRUCTURE APPLIED TO MULTISOURCE REMOTE SENSING IMAGES,』 acceptedin Proc. of IEEE International Geoscience and Remote Sensing SymposiumIGARSS ‘09, July 12-17, 2009, Cape Town, South African, NSC 97-2116-M-027-002, (EI).

3.Hsuan Ren, Yang-Lang Chang, 『PARALLEL COMPUTING OF HIGH ORDER ANOMALY DETECTION IN HYPERSPECTRAL IMAGERY,』 Invited paper in Proc. of IEEE International Geoscience and Remote Sensing Symposium IGARSS ‘09, July 12-17, 2009, Cape Town, South African, (EI).

4.Lena Chang, Yang-Lang Chang, Ching-Min Cheng, 『An Efficient Hierarchical Hyperspectral Image Classification Using Binary Quaternion-Moment-Preserving Thresholding Technique ,』 accepted in Proc. of IEEEInternational Geoscience and Remote Sensing Symposium IGARSS ‘09, July 12-17, 2009, Cape Town, South African, (EI).

5.Antoio Plaza, Qian Du, Yang-Lang Chang, 『HIGH PERFORMANCE COMPUTING FOR HYPERSPECTRAL IMAGE ANALYSIS: PERSPECTIVE AND STATE-OF-THE-ART,』 Invited paper in Proc. ofIEEE International Geoscience and Remote Sensing Symposium IGARSS ‘09, July 12-17, 2009, Cape Town, South African, (EI).

6.Chao-Cheng Wu, Chein-I Chang, Hsuan Ren, Yang-Lang Chang, 『REAL-TIME PROCESSING OF SIMPLEX GROWING ALGORITHM,』 Invited paper in Proc. of IEEE International Geoscience and Remote Sensing Symposium IGARSS ‘09, July 12-17, 2009, Cape Town, South African, (EI).

7.Jyh Perng Fang, Yang-Lang Chang, Chih-Chia Chen, Wen-Yew Liang, Tung-Ju Hsieh, and Chin-Chuan Han, 『A Parallel Simulated Annealing approach for Floorplanning in VLSI,” accepted by the 9th International Conference on Algorithms and Architectures for Parallel Processing (ICA3PP’09), Taipei, Taiwan, June 8-11, NSC: 97-2116-M-027-002. To be published in Lecture Notes in Computer Science (EI).

8.Wen-Yew Liang, Tung-Ju Hsie, Muhammad T. Satria, Yang-Lang Chang, Jyh-Perng Fang, and Chin-Chuan Han, 『A GPU-Based Simulation of Tsunami Propagation and Inundation,” accepted by the 9th International Conference on Algorithms and Architectures for Parallel Processing (ICA3PP’09), Taipei, Taiwan, June 8-11, NSC: 97-2116-M-027-002. To be published in Lecture Notes in Computer Science (EI).

9.Yang-Lang Chang, Jyh-Perng Fang, Wei-Lieh Hsu, Long-Shin Liang, Jin-Nan Liu, Hsiao-Wei Tang 『A Parallel Simulated Annealing Approach to Band Selection and Feature Extraction for Data Fusion of Hyperspectral and SAR Images,』 accepted in Proc. of 2008 Remote Sensing Symposium Across Taiwan Strait, Sep. 15-19, 2008, GuiLin, Guang Xi, China, NSC: 97-2116-M-027-002.

10.Yang-Lang Chang, Wen-Yew Liang, Wei-Lieh Hsu, Tung-Ju Hsieh, Zhi-Ming Chen, Shih-Yu Kao 『A Class Based Parallel Positive Boolean Function Approach to Multisource Remote Sensing Images,』 accepted in Proc. of 2008 Remote Sensing Symposium Across Taiwan Strait, Sep. 15-19, 2008, GuiLin, Guang Xi, China, NSC: 97-2116-M-027-002.

11.Yang-Lang Chang, Lena Chang, Jyh-Perng Fang, Wen-Yew Liang, and Kun-Shan Chen, 『Multisource Image Classification Based on Parallel Minimum Classification Error Learning,』 accepted in Proc. of IEEEInternational Geoscience and Remote Sensing Symposium IGARSS ‘08, July 6-11, 2008 , Boston, Massachusetts, NSC 96-2116-M-027-002, (EI).

12.Yang-Lang Chang, Jyh-Perng Fang, Hsuan Ren, Lena Chang, Wen-Yew Liang, and Kun-Shan Chen, 『Parallel Simulated Annealing Approach to Band Selection for Hyperspectral Imagery,』 accepted in Proc. of IEEEInternational Geoscience and Remote Sensing Symposium IGARSS ‘08, July 6-11, 2008 , Boston, Massachusetts, NSC 96-2116-M-027-002, (EI).

13.Lena Chang, Ching-Min Cheng, and Yang-Lang Chang, 『Fast Hyperspectral Image Classification using Binary Quaternion-moment-preserving Thresholding Technique,』 accepted in Proc. of IEEEInternational Geoscience and Remote Sensing Symposium IGARSS ‘08, July 6-11, 2008 , Boston, Massachusetts, (EI).

14.Hsuan Ren, and Yang-Lang Chang, 『A Parallel Approach for Initialization of High-order Statistics Anomaly Detection in Hyperspectral Imagery,』 accepted in Proc. of IEEE International Geoscience and Remote Sensing Symposium IGARSS ‘08, July 6-11, 2008 , Boston, Massachusetts, (EI).

15.Wen-Yew Liang, Shih-Chang Chen, Yang-Lang Chang, and Jyh-Perng Fang 『Memory-aware Dynamic Voltage and Frequency Prediction for Portable Devices』, accepted by The 14th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications (RTCSA 2008). August 25-27, 2008, Kaohsiung, Taiwan, NSC 96-2221-E-027-023, (EI).

16.Wen-Yew Liang, Yang-Lang Chang, Hung-Che Lee, Chi-Yu Weng, Jyh-Perng Fang and Sanq-Chang Ruan, 『Supporting Dynamic Distributed Computing for Industrial Devices and Applications,』 accepted by the 3rdIEEE Conference on Industrial Electronics and Applications (ICIEA 2008), June 3-5, 2008, Singapore, NSC 96-2221-E-027-023, (EI).

17.Jyh Perng Fang, Yang-Lang Chang, and Wen-Yew Liang 『An 802.15.4-based In-class Response System』 accepted in the Proc. of e-CASE 2008 (The 2008 International Joint Conference on e-Commerce, e-Administration, e-Society, and e-Education), March 27-29, Bangkok, Thailand, NSC 96-2520-S-027-002.

18.Wen-Yew Liang, Hung-Che Lee, Yang-Lang Chang, Jyh-Perng Fang and Jywe-Fei Fang, 『Design and Analysis of a Low Power Wireless Portable Media Player,』 in Proc. of  ICPADS’2007, the 13th International Conference on Parallel and Distributed Systems (ICPADS 2007), Dec. 5-7, 2007, Hsinchu, Taiwan, NSC 96-2221-E-027-023.

19.Yang-Lang Chang, Jyh-Perng Fang, Long-Shin Liang, Li-De Chen and Kun-Shan Chen, 『A Parallel Positive Boolean Function Approach to Supervised Multispectral Image Classification,』 accepted in Proc. of IEEEInternational Geoscience and Remote Sensing Symposium, IGARSS ‘07, July 23-27, 2007, Barcelona, Spain, NSC 95-2221-E-027-037, (EI).

20.Yang-Lang Chang, Jyh-Perng Fang, Hsuan Ren, Wen-Yew Liang, and Jin-Nan Liu, 『A Simulated Annealing Feature Extraction Approach for Hyperspectral Images,』 accepted in Proc. of IEEE International Geoscience and Remote Sensing Symposium, IGARSS ‘07, July 23-27, 2007, Barcelona, Spain, NSC 95-2221-E-027-037, (EI).

21.Hsuan Ren and Yang-Lang Chang, 『A Two-Stage Subpixel Classification Method for Multispectral Remote Sensing Images,』 accepted in Proc. ofIEEE International Geoscience and Remote Sensing Symposium, IGARSS ‘07, July 23-27, 2007, Barcelona, Spain, (EI).

22.Long-Shin Liang, Kun-Shan Chen, Yang-Lang Chang and Long-Ge Lien, 『Monitoring and Statistical Analysis of Landslides in Taiwan Island using Multi Satellite Images and GIS Data,』 accepted in Proc. of IEEEInternational Geoscience and Remote Sensing Symposium, IGARSS ‘07, July 23-27, 2007, Barcelona, Spain, (EI).

23.Yang-Lang Chang, Jyh-Perng Fang, Hsuan Ren, Jen-Chieh Yang, and Wen-Yew Liang, 『Simulated Annealing and Greedy Modular Eigenspaces Band Selection Approach for Hyperspectral Imagery,』  in Proc. of SPIE,SPIE Symposium on Optics East, pp. 6756C, September 9-12, 2007,Boston, Massachusetts, USA,  NSC 96-2116-M-027-002 (EI).

24.Hsin-Ting Chen, Hsuan Ren, and Yang-Lang Chang, 『Greedy modular subspace segment principle component analysis,』 in Proc. of SPIE, SPIE Symposium on Optics East, pp. 6756F, September 9-12, 2007, Boston, Massachusetts, USA, (EI).

25.Yang-Lang Chang, Jyh-Perng Fang, Chih-Wei Wu,Long-Shin Liang, Chiu-Liang Chen and Kun-Shan Chen, 『A Simulated Annealing Feature Extraction for Complete Modular Eigenspace of Hyperspectral Images,』 in Proc. of 2007 Remote Sensing Symposium Across Taiwan Strait, Vol. R2-116, pp 5-11, March 19-24, 2007, Chungli, Taiwan, NSC 95-2221-E-027-037.

26.Hsien-Ting Chen, Hsuan Ren and Yang-Lang Chang, 『A Greedy Modular Subspace Segment Principal Component Analysis for Feature Extraction in hyperspctral imagery,』 in Proc. of 2007 Remote Sensing Symposium Across Taiwan Strait, Vol. R2-116, pp 5-13, March 19-24, 2007, Chungli, Taiwan.

27.Yen-Nan Pan, Hsuan Ren and Yang-Lang Chang, 『Endmember Classification for Multispectral Imagery with Spatial and Spectral Features,』 in Proc. of 2007 Remote Sensing Symposium Across Taiwan Strait,  Vol. R2-116, pp 5-17, March 19-24, 2007, Chungli, Taiwan.

28.Long-Shin Liang, Kun-Shan Chen, Jung-Chi Lian, and Yang-Lang Chang, 『Post-Chichi Earthquake Landslide Probability Distribution Using Time Series Analysis,』 in Proc. of 2007 Remote Sensing Symposium Across Taiwan Strait,  Vol. R3-103, pp 2-3, March 19-24, 2007, Chungli, Taiwan.

29.Jyh-Perng Fang, Yang-Lang Chang, Hsuan Ren, Chun-Chieh Lin, Wen-Yew Liang, and Jywe-Fei Fang, 『A simulated annealing band selection approach for hyperspectral imagery,』 in Proc. of SPIE, Sensors and Applications, Optics East, Vol. 6378, pp 63781G-1-10, October 1-4, 2006,Boston, Massachusetts, USA, (EI).

30.Hsuan Ren, Jyh Perng Fang, and Yang-Lang Chang, 『Signature reduction methods for target detection in multispectral remote sensing imagery,』 in Proc. of SPIE, Sensors and Applications, Optics East, Vol. 6378, pp 63781E-1-9, October 1-4, 2006, Boston, Massachusetts, USA, (EI).

31.Yang-Lang Chang, Chin-Chuan Han, Jyh-Perng Fang, Long-Shin Liang, Kun-Shan Chen, and Jia-Pei Huang, 『A Generalized Positive Boolean Function Approach to Supervised Multispectral Image Classification,』 in Proc. of IEEE International Geoscience and Remote Sensing Symposium,IGARSS ‘06 & 27th Canadian Symposium on Remote Sensing, pp:4205 – 4208, July 31-August 4, 2006, Denver, Colorado, USA, NSC: 94-2212-E027-024, (EI).

32.Yang-Lang Chang, Hsuan Ren, Jyh-Perng Fang, Wen-Yew Liang, Jia-Pei Huang, and Chun-Chieh Lin, 『A Parallel Computing Technique for Complete Modular Eigenspace Feature Extraction of Hyperspectral Images,』 in Proc. of IEEE International Geoscience and Remote Sensing Symposium, IGARSS ‘06 & 27th Canadian Symposium on Remote Sensing, pp. 960 – 963, July 31-August 4, 2006, Denver, Colorado, USA,NSC: 94-2212-E027-024, (EI).

33.Hsuan Ren and Yang-Lang Chang, 『Multispectral subpixel detection using least square unmixing,』 in Proc. of IEEE International Geoscience And Remote Sensing Symposium, IGARSS ‘06 & 27th Canadian Symposium on Remote Sensing, pp. 2754 – 2756, July 31-August 4, 2006, Denver, Colorado, USA, (EI).

34.Hsuan Ren and Yang-Lang Chang, 『Feature Extraction with Modified Fisher’s Linear Discriminant Analysis,』 in Proc. of SPIE, Sensors and Applications, Optics East, Vol. 5995, pp. 56-62, October 23-26, 2005,Boston, Massachusetts, USA, (EI).

35.Yang-Lang Chang and Hsuan Ren, 『A Complete Modular Eigenspace Feature Extraction Technique for Hyperspectral Images,』 in Proc. of IEEEInternational Geoscience and Remote Sensing Symposium, IGARSS ‘05, Vol. II, pp 1253-1256, July 25-29, 2005, Seoul, Korea, NSC: 93-2212-E-141-001, (EI).

36.Hsuan Ren and Yang-Lang Chang, 『Error Analysis for Band Generation Process in Generalized Orthogonal Subspace Projection,』 in Proc. of IEEEInternational Geoscience and Remote Sensing Symposium, IGARSS ‘05,Vol. VI, pp 3792-3794, July 25-29, 2005, Seoul, Korea, (EI).

37.Yang-Lang Chang and Hsuan Ren, 『A Greedy Modular Eigenspace-based Band Selection Approach for Hyperspectral Imagery,』 in Proc. of SPIE,Imaging Spectrometry X, Vol. 5546, pp 406-415, August 02-06, 2004,Denver, Colorado, USA, (EI).

38.Yang-Lang Chang, Chia-Tang Chen, Chin-Chuan Han, Kuo-Chin Fan, K.S. Chen and Jeng-Horng Chang, 『Hyperspectral and SAR Imagery Data Fusion with Positive Boolean Function,』 in Proc. of SPIE, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery IX, Vol. 5093, pp 765-776, April 21-24, 2003, Orlando, Florida, USA, (EI).

39.Yang-Lang Chang, Chin-Chuan Han, Kuo-Chin Fan, K.S. Chen, and Jeng-Horng Chang, 『A Modular Eigen Subspace Scheme for High-dimensional Data Classification with NASA MODIS/ASTER (MASTER) airborne simulator datasets of Pacrim II project,』 in Proc. of SPIE, Imaging Spectrometry VIII, Vol. 4816, pp 426-436, July 07-12, 2002, Seattle, Washington, USA, (EI).

 

Domestic Conference Papers:

1.J. P. Fang, Y.-L. Chang, W.-Y. Liang, W. J. Chu, S. Y. Hong, K. H. Hsu, 『Small Embedded System Design and Traditional Chinese Display,』 in Proc. of 2008 Conference on Innovative Application of System Prototyping and Circuit Design, Taichung, Taiwan, Oct. 17, 2008.

2.Wei-Lieh Hsu, Chang-Lung Tsai, Yang-Lang Chang, 『Abnormal Event Detection for Home Care Using Cellular Model,』 CVGIP, IPPR, August 24-26, 2008, Yi-Lan, Taiwan.

3.Jyh-Perng  Fang, Yang-Lang Chang, and Wen-Yew Liang, 『A WSN-based Environment for Interactive EE/CS Lab: Concept and Design,』 in Proc. of Information Education and Technological Applications Conference, Taichung, Taiwan, pp. 431-436, Nov. 06, 2007.

4.Yang-Lang Chang, Jyh-Perng  Fang, Wen-Yew Liang and Li-De Chen, 『A Parallel Positive Boolean Function Approach to Hyperspectral Image Classification,』 CVGIP,IPPR, August 19-21, 2007, Miaoli, Taiwan, NSC: NSC 95-2221-E-027-037.

5.Yang-Lang Chang, Jyh Perng Fang, Hsuan Ren, Wen-Yew Liang, Wei-Lieh Hsu and Jing-Yi Chen, 『A Simulated Annealing Feature Uniformity Band Selection Approach to Hyperspectral Images,』 CVGIP, IPPR, August 19-21, 2007, Miaoli, Taiwan, NSC: NSC 95-2221-E-027-037.

6.Hsuan Ren, Hsin-Ting Chen and Yang-Lang Chang, 『Weighted Orthogonal Subspace Projection with Weighted Sample Correlation Matrix,』 CVGIP, IPPR, August 19-21, 2007, Miaoli, Taiwan.

7.Yang-Lang Chang, Jyh Perng Fang, Wei-Lieh Hsu, Wen-Yew Liang, Jen-Chieh Yang and Chia-Hui Chen, 『A Chinese Signature Recognition PDA System using Greedy Modular Eigenspace,』  NTCB-CIMP’06, December 15, 2006, Taipei, Taiwan, NSC 95-2221-E-027-037.

8.Wei-Lieh Hsu, Chun-Chieh Hsiao, Yang-Lang Chang, and Tsung-Lun Chen, 『A Vision-based Surveillance System Using Cellular Model,』 NTCB-CIMP’06, December 15, 2006, Taipei, Taiwan.

9.Yang-Lang Chang, Hsuan Ren, Jyh-Perng Fang, Wen-Yew Liang, Yun-Ming Liu, 『A Multi-Dimensional Correlation Matrix Feature Extraction Technique for Hyperspectral Images,』 AASRC/CCAS Joint Conference, December 10, 2006, Jhongli, Taiwan, NSC: 94-2212-E027-024.

10.Hsuan Ren and Yang-Lang Chang, 『Unsupervised least square unmixing approach for subpixel target detection on multispectral remotely sensed imagery,』 AASRC/CCAS Joint Conference, December 10, 2006, Jhongli, Taiwan.

11.Mann-Li Chang, Chien-Peng Chuang, Tai-Long Kuo, Ching-Chi Wu, Giu-Cheng Hsu, Chia-Pei Huang, Yang-Lang Chang, and San-Kan Lee, 『A Pilot Learning/Training/Teaching System of Mammography Screening for Radiologists,』 Asia Pacific Association of Medical Informatics Conference 2006, October 27-29, 2006, Taipei, Taiwan.

12.Yang-Lang Chang, Jyh Perng Fang, Chih-Wei Wu, Hsuan Ren, Kuo-Chin Fan, Jian-Hong Chen, 『Greedy modular eigenspace feature extraction for Chinese signature recognition,』 CVGIP, IPPR, August 13-15, 2006, Tau-Yaun, Taiwan, NSC: 94-2212-E027-024.

13.Hsuan Ren, Hung-Ming Kao, Yen-Nan Pan, Wan-Wei Chi, Chun-Chung Huang, Yang-Lang Chang, 『Integration of spectral and spatial information for unsupervised classification in multispectral images,』 CVGIP, IPPR, August 13-15, 2006, Tau-Yaun, Taiwan.

14.Yang-Lang Chang, Jyh-Perng Fang and Hsuan Ren, 『Data fusions and feature extractions for hyperspectral and synthetic aperture radar (SAR) images,』 AASRC/CCAS Joint Conference, December 10, 2005, Kaohsiung, Taiwan.

15.Hsuan Ren and Yang-Lang Chang, 『Weighted Least-Square Approaches for Abundance Estimation in Remotely Sensed Imagery,』 AASRC/CCAS Joint Conference,December 10, 2005, Kaohsiung, Taiwan.

16.Jyh-Perng Fang and Yang-Lang Chang, 『Application of Embedded System for Home Care and Health Management,』 NTCB-CIMP’05, November 04, 2005, Taipei, Taiwan.

17.Yang-Lang Chang and Hsuan Ren, 『Three Dimensional Correlation Matrix Feature Extraction Technique for Hyperspectral Images,』 CVGIP, IPPR, August 21-23, 2005, Taipei, Taiwan, NSC: 93-2212-E-141-001.

18.Yang-Lang Chang, 『A novel feature extraction technique for the data fusion of hyperspectral and SAR images,』 CVGIP, IPPR, August 15-17, 2004, Hualien, Taiwan, NSC: 93-2212-E-141-001.

 

Book Chapters:

1.Yang-Lang Chang, Greedy Modular Eigenspace Method for Hyperspectral Image Classification, Recent Advances in Hyperspectral Signal and Image Processing, Editor Chein-I Chang, Transworld Research Network, Trivandrum, Kerala, ISBN: 81-7895-218-1, 2006, NSC: 94-2212-E027-024.

2.Yang-Lang Chang, 『A Novel Approach to Hyperspectral Image Classification,』Computer Science and Information Engineering, National Central University. PhD Dissertation, May 2003.