Hyperspectral Data Processing: Algorithm Design and Analysis

Hyperspectral Data Processing: Algorithm Design and Analysis

Volumn , Issue , 2013, Pages

  Chang, Chein I ^a  

^a UNIVERSITY OF MARYLAND BALTIMORE COUNTY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 84891584609     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.1002/9781118269787     Document Type: Book

References (510)

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58. Chakravarty, S. and Chang, C.-I (2008a), "Band selection for hyperspectral signature coding," International Symposium Spectral Sensing Research (ISSSR), Steven Institute of Technology, New Jersey, Jun.
59. Chakravarty, S. and Chang, C.-I (2008b), "Block truncation signature coding for hyperspectral analysis," ISSSR, San Diego, CA, Aug.
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66. Chang, C.-I (2002b), "Target signature-constrained mixed pixel classification for hyperspectral imagery," IEEE Trans. Geosci. Rem. Sens., vol. 40, no. 2, pp. 1065-1081, May.
67. Chang, C.-I (2003a), Hyperspectral Imaging: Techniques for Spectral Detection and Classification, Kluwer Academic/Plenum Publishers, Dordrecht, the Netherlands.
68. Chang, C.-I (2003b), "How to effectively utilize information to design hyperspectral target detection and classification algorithms," Workshop in honor of Professor David Landgrebe on Advances in Techniques for Analysis of Remotely Sensed Data, NASA Goddard Visitor Center, Washington, DC, Oct.
69. Chang, C.-I and Q. Du (2004), "Estimation of number of spectrally distinct signal sources in hyperspectral imagery," IEEE Trans. Geosci. Rem. Sens., vol. 42, no. 3, pp. 608-619, Mar.
70. Chang, C.-I (2005), "Orthogonal subspace projection revisited: a comprehensive study and analysis," IEEE Trans. Geosci. Rem. Sens., vol. 43, no. 3, pp. 502-518, Mar.
71. Chang, C.-I (2006a), "Hand held device detects chemical and biological warfare agents," 10.1117/2.1200612.0507, ISSN 1818-2559, Dec. http://newsroom.spie.org. x5237.xml.
72. Chang, C.-I (2006b), "Exploration of virtual dimensionality in hyperspectral image analysis," Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XII, SPIE Defense and Security Symposium, Orlando, FL, Apr.
73. Chang, C.-I, ed., (2006c) Recent Advances in Hyperspectral Signal and Image Processing, edited by C.-I Chang, Research Signpost, Trivandrum, Kerala, India.
74. Chang, C.-I (2006d), "Utility of virtual dimensionality in hyperspectral signal/image processing," Chapter 1, Recent Advances in Hyperspectral Signal and Image Processing, edited by C.-I Chang, Research Signpost, Trivandrum, Kerala, India.
75. Chang, C.-I, ed. (2007a), Hyperspectral Data Exploitation: Theory and Applications, John Wiley & Sons, New York.
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77. Chang, C. -I (2007c), "Information-processed matched filters for hyperspectral target detection and classification," Chapter 3, Hyperspectral Data Exploitation: Theory and Applications, edited by C.-I Chang, John Wiley & Sons, New York, pp. 47-74.
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79. Chang, C.-I (2008b), "Unsupervised linear hyperspectral unmixing," International Symposium Spectral Sensing Research (ISSSR), Steven Institute of Technology, New Jersey, Jun.
80. Chang, C.-I (2008c), "Three dimensional receiver operating characteristic (3D ROC) analysis for hyperspectral signal detection and estimation," International Symposium Spectral Sensing Research (ISSSR), Steven Institute of Technology, New Jersey, Jun.
81. Chang, C.-I (2009a), "Virtual dimensionality for hyperspectral imagery," Sept, SPIE Newsroom [DOI: 10.1117/ 2.1200909.1749].
82. Chang, C.-I (2009b), "Further results on relationship between spectral unmixing and subspace projection," IEEE Trans. Geosci. Rem. Sen., vol. 47, no. 11, pp. 4418-4432, Nov.
83. Chang, C.-I (2010), "Multiple-parameter receiver operating characteristic analysis for signal detection and classification," IEEE Sensors J., vol. 10, no. 3, pp. 423-442, Mar (invited paper).
84. Chang, C.-I (2013), Real Time Hyperspectral Image Processing: Algorithm Architecture and Implementation, Springer-Verlag, Berlin.
85. Chang, C.-I and C. Brumbley (1997), "An orthogonalization target signature space projection approach to image classification in unknown background," 31st Conference Information Sciences and Systems, The Johns Hopkins University, Baltimore, MD, pp. 174-178, Mar.
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93. Chang, C.-I and S.-S. Chiang (2002), "Anomaly detection and classification for hyperspectral imagery," IEEE Trans. Geosci. Rem. Sens., vol. 40, no. 2, pp. 1314-1325, Feb.
94. Chang, C.-I, S.-S. Chiang and I.W. Ginsberg (2001b), "Anomaly detection in hyperspectral imagery," SPIE Conference on Geo-Spatial Image and Data Exploitation II, Orlando, FL, pp. 43-50, Apr.
95. Chang, C.-I, S.S. Chiang, J.A. Smith and I.W. Ginsberg (2002), "Linear spectral random mixture analysis for hyperspectral imagery," IEEE Trans. Geosci. Rem. Sens., vol. 40, no. 2, pp. 375-392, Feb.
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98. Chang, C.-I and Q. Du (2004), "Estimation of number of spectrally distinct signal sources in hyperspectral imagery," IEEE Trans. Geosci. Rem. Sens., vol. 42, no. 3, pp. 608-619, Mar.
99. Chang, C.-I, Q. Du, S.-S. Chiang, D. Heinz and I.W. Ginsberg (2001c), "Unsupervised subpixel target detection in hyperspectral imagery," SPIE Conference on Algorithms for Multispectral, Hyperspectral and Ultraspectral Imagery VII, Orlando, FL, pp. 370-379, Apr.
100. Chang, C.-I, Q. Du, T.S. Sun and M.L.G. Althouse (1999), "A joint band prioritization and band decorrelation approach to band selection for hyperspectral image classification," IEEE Trans. Geosci. Rem. Sens., vol. 37, no. 6, pp. 2631-2641, Nov.
101. Chang, C.-I, Y. Du, J. Wang, S.-M. Guo and P. Thouin (2006), "A survey and comparative study of entropic and relative entropic thresholding techniques," IEE Proc., Vision, Image Signal Process., vol. 153, no. 6, Dec.
102. Chang, C.-I and D. Heinz (2000a), "Constrained subpixel target detection for hyperspectral imagery," SPIE Conference on Signal and Data Process. Small Targets 2000, Orlando, FL, pp. 35-45, Apr.
103. Chang, C.-I and D. Heinz (2000b), "Constrained subpixel detection for remotely sensed images," IEEE Trans. Geosci. Rem. Sens., vol. 38, no. 3, pp. 1144-1159, May.
104. Chang, C.-I and M. Hsueh (2006), "Characterization of anomaly detection for hyperspectral imagery," Sensor Rev., vol. 26, no. 2, pp. 137-146.
105. Chang, C.-I and B. Ji (2006a), "Weighted least squares error approaches to abundance-constrained linear spectral mixture analysis," IEEE Trans. Geosci. Rem. Sens., vol. 44, no. 2, pp. 378-388, Feb. 2006.
106. Chang, C.-I and B. Ji (2006b), "Fisher's linear spectral mixture analysis," IEEE Trans. Geosci. Rem. Sens., vol. 44, no. 8, pp. 2292-2304, Aug.
107. Chang, C.-I, X. Jiao, Y. Du and M.-L. Chang (2010), "Unsupervised hyperspectral target analysis," EURASIP J. Adv. Signal Process., vol. 2010, no. 485151, p. 20.
108. Chang, C.-I, X. Jiao, Y. Du and H.M. Chen (2011), "Component-based unsupervised linear spectral mixture analysis for hyperspectral imagery," IEEE Trans. Geosc. and Rem. Sens., vol. 49, no. 11, pp. 4123-4137, Nov.
109. Chang, C.-I, W. Liu and C.-C. Chang (2004), "Discrimination and identification for subpixel targets in hyperspectral imagery," IEEE Int. Conf. on Image Process., Singapore, Oct.
110. Chang, C.-I, J.-M. Liu, B.-C. Chieu, C.-M. Wang, C. S. Lo, P.-C. Chung, H. Ren, C.-W. Yang and D.-J. Ma (2000), "A generalized constrained energy minimization approach to subpixel target detection for multispectral imagery," Opt. Eng., vol. 39, no. 5, pp. 1275-1281, May.
111. Chang, C.-I and A. Plaza (2006), "Fast iterative algorithm for implementation of pixel purity index," IEEE Trans. Geosci. Rem. Sens. Lett., vol. 3, no. 1, pp. 63-67, Jan.
112. Chang, C.-I, B. Ramakrishna, J. Wang and A. Plaza, "Exploitation-based hyperspectral image compression," J. Appl. Rem. Sens., vol. 4, 041760 (Dec 03, 2010); doi:10.1117/1.3530429.
113. Chang, C.-I and H. Ren (1999a), Computer-Assisted Target Detection and Classification for Hyperspectral Imagery, Jun.
114. Chang, C.-I and H. Ren (1999b), "Linearly constrained minimum variance beamforming for target detection and classification in hyperspectral imagery," IEEE 1999 Int. Geosci. Rem. Sens. Symp., Hamburg, Germany, pp. 1241-1243, 28 Jun.-2 Jul.
115. Chang, C.-I and H. Ren (2000a), "An experiment-based quantitative and comparative analysis of hyperspectral target detection and image classification algorithms," IEEE Trans Geosci. Rem. Sens., vol. 38, no. 2, pp. 1044-1063, Mar.
116. Chang, C.-I and H. Ren (2000b), Linearly Constrained Minimum Variance Beamforming Methods for Remote Sensing Image Analysis, Disclosure of Invention, University of Maryland, Baltimore County, May.
117. Chang, C.-I, H. Ren, C.-C. Chang, J.O. Jensen and F. D'Amico (2004), "Estimation of subpixel target size for remotely sensed imagery," IEEE Trans. Geosci. Rem. Sens., vol. 42, no. 6, pp. 1309-1320, Jun.
118. Chang, Y.C., H. Ren, C.-I Chang and B. Rand (2008), "How to design synthetic images to validate and evaluate hyperspectral imaging algorithms," SPIE Conference on Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XIV, Orlando, FL, Mar.
119. Chang, C.-I, H. Ren and S.S. Chiang (2001a), "Real-time processing algorithms for target detection and classification in hyperspectral imagery," IEEE Trans. Geosci. Rem. Sens., vol. 39, no. 4, pp. 760-768, Apr.
120. Chang, C.-I, H. Ren, Q. Du, S.-S. Chiang and A. Ifarragurri (2001b), "An ROC analysis for subpixel detection," IEEE Int. Geosci. Remote Sens. Symp., Sydney, Australia, Jul.
121. Chang, C.-I and H. Safavi (2011), "Progressive dimensionality reduction by transform for hyperspectral image analysis," Pattern Recognit., Apr., online access: doi: 10.1016/j.patcog.2011.03.030.
122. Chang, C.-I, T.-L.E. Sun and M.L.G. Althouse (1998a), "An unsupervised interference rejection approach to target detection and classification for hyperspectral imagery," Opt. Eng., vol. 37, no. 3, pp. 735-743, Mar.
123. Chang, C.-I and S. Wang (2006), "Constrained band selectionfor hyperspectral imagery," IEEE Trans. Geosci. Rem. Sens., vol. 44, no. 6, pp. 1575-1585, Jun.
124. Chang, C.-I and Jian Wang (2008), Real-Time Implementation of Field Programmable Gate Arrays (FPGA) Design in Hyperspectral Imagery, US Patent, number 7,366,326, Apr.
125. Chang, C.-I, Jing Wang, C.-C. Chang and C. Lin (2006), "Progressive coding for hyperspectral signature characterization," Opt. Eng., vol. 45, no. 9, pp. 097002-1-097002-15, Sept.
126. Chang, C.-I, Jing Wang, F. D'Amico and J.O. Jensen (2003), "Multistage pulse code modulation for progressive spectral signature coding," Chem. Biol. Standoff Detect.-Opt. Technol. Ind. Environ. Sensing Symp.-PhotonicsWest 2003, pp. 252-261, Oct.
127. Chang, C.-I, S. Wang, K.H. Liu and C. Lin (2011a), "Progressive band dimensionality expansion and reduction for hyperspectral imagery," IEEE J. Sel. Top. Appl. Earth Observ. Rem. Sens., vol. 4, no. 3, pp. 591-614, Sep.
128. Chang, C.-I, C.-C. Wu and H.M. Chen (2010), "Random pixel purity index algorithm," IEEE Trans. Geosci. Rem. Sens. Lett., vol. 7, no. 2, pp. 324-328, Apr.
129. Chang, C.-I, C.C. Wu, W. Liu and Y.C. Ouyang (2006), "A growing method for simplex-based endmember extraction algorithms," IEEE Trans. Geosci. Rem. Sens., vol. 44, no. 10, pp. 2804-2819, Oct.
130. Chang, C.-I, C.C. Wu, C.-S. Lo and M.-L. Chang (2010), "Real-time simplex growing algorithms for hyperspecral endmember extraction," IEEE Trans. Geosc. Rem. Sens., vol. 40, no. 4, pp. 1834-1850, April.
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