Abstract
The purpose of this monograph is to present new and known modified methods of hyperspectral image analysis and processing and profile them in terms of their usefulness in medical diagnostics and research, as well as develop quantitative diagnostic tools that can be used in everyday medical practice.
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References
Wang, Liguo; Zhao, Chunhui, Introduction of Hyperspectral Remote Sensing Applications, Hyperspectral Image Processing: 283–308, (2016).
Nguyen, Hien Van; Banerjee, Amit; Burlina, Philippe; Broadwater, Joshua; Chellappa, Rama, Tracking and Identification via Object Reflectance Using a Hyperspectral Video Camera, Machine Vision Beyond Visible Spectrum (2011-01-01) 1: 201–219, January 01, 2011.
Miguel, Agnieszka; Riskin, Eve; Ladner, Richard; Barney, Dane, Near-lossless and lossy compression of imaging spectrometer data: comparison of information extraction performance, Signal, Image and Video Processing (2012-11-01) 6: 597–611, November 01, 2012.
Le, Justin H.; Yazdanpanah, Ali Pour; Regentova, Emma E.; Muthukumar, Venkatesan A Deep Belief Network for Classifying Remotely-Sensed Hyperspectral Data, Advances in Visual Computing (2015-01-01): 9474, January 01, 2015.
Alam, Mohammad S.; Sakla, Adel Automatic Target Recognition in Multispectral and Hyperspectral Imagery Via Joint Transform Correlation, Wide Area Surveillance (2012-09-11) 6: 179–206, September 11, 2012.
Miller, Corey A.; Walls, Thomas J., Hyperspectral Scene Analysis via Structure from Motion, Advances in Visual Computing (2015-01-01): 9474, January 01, 2015.
Zou, Xiaobo; Zhao, Jiewen, Hyperspectral Imaging Detection, Nondestructive Measurement in Food and Agro-products (2015-01-01): 127–193, January 01, 2015.
Chen, Yu-Nan; Sun, Da-Wen; Cheng, Jun-Hu; Gao, Wen-Hong, Recent Advances for Rapid Identification of Chemical Information of Muscle Foods by Hyperspectral Imaging Analysis, Food Engineering Reviews (2016-04-04): 1–15, April 04, 2016.
Wang, Liguo; Zhao, Chunhui, Introduction of Hyperspectral Remote Sensing Applications, Hyperspectral Image Processing (2016-01-01): 283–308, January 01, 2016.
Zhang, Baohua; Fan, Shuxiang; Li, Jiangbo; Huang, Wenqian; Zhao, Chunjiang; Qian, Man; Zheng, Ling, Detection of Early Rottenness on Apples by Using Hyperspectral Imaging Combined with Spectral Analysis and Image Processing, Food Analytical Methods (2015-09-01) 8: 2075–2086, September 01, 2015.
Behmann, Jan; Mahlein, Anne-Katrin; Paulus, Stefan; Dupuis, Jan; Kuhlmann, Heiner; Oerke, Erich-Christian; Plümer, Lutz, Generation and application of hyperspectral 3D plant models: methods and challenges, Machine Vision and Applications (2015-10-03): 1–14, October 03, 2015.
Lausch, Angela; Pause, Marion; Merbach, Ines; Zacharias, Steffen; Doktor, Daniel; Volk, Martin; Seppelt, Ralf, A new multiscale approach for monitoring vegetation using remote sensing-based indicators in laboratory, field, and landscape, Environmental Monitoring and Assessment (2013-02-01) 185: 1215–1235, February 01, 2013.
Martin, Ron; Thies, Boris; Gerstner, Andreas OH, Hyperspectral hybrid method classification for detecting altered mucosa of the human larynx, International Journal of Health Geographics (2012-06-21) 11: 1–9, June 21, 2012.
Bigdeli, Behnaz; Samadzadegan, Farhad; Reinartz, Peter A Multiple SVM System for Classification of Hyperspectral Remote Sensing Data, Journal of the Indian Society of Remote Sensing (2013-12-01) 41: 763–776, December 01, 2013.
Wang, Ke; Gu, XingFa; Yu, Tao; Meng, QingYan; Zhao, LiMin; Feng, Li Classification of hyperspectral remote sensing images using frequency spectrum similarity, Science China Technological Sciences (2013-04-01) 56: 980–988, April 01, 2013.
Mookambiga, A.; Gomathi, V.Comprehensive review on fusion techniques for spatial information enhancement in hyperspectral imagery, Multidimensional Systems and Signal Processing (2016-04-27): 1–27, April 27, 2016.
Chutia, Dibyajyoti; Bhattacharyya, Dhruba Kumar; Kalita, Ranjan; Goswami, Jonali; Singh, Puyam S.; Sudhakar, S., A model on achieving higher performance in the classification of hyperspectral satellite data: a case study on Hyperion data, Applied Geomatics (2014-09-01) 6: 181–195, September 01, 2014.
Prabhu, N.; Arora, Manoj K.; Balasubramanian, R.Wavelet Based Feature Extraction Techniques of Hyperspectral Data, Journal of the Indian Society of Remote Sensing (2016-01-29): 1–12, January 29, 2016.
Prabhakar, M.; Prasad, Y. G.; Rao, Mahesh N., Remote Sensing of Biotic Stress in Crop Plants and Its Applications for Pest Management, Crop Stress and its Management: Perspectives and Strategies (2012-01-01): 517–545, January 01, 2012.
Vetrekar, N. T.; Gad, R. S.; Fernandes, I.; Parab, J. S.; Desai, A. R.; Pawar, J. D.; Naik, G. M.; Umapathy, S., Non-invasive hyperspectral imaging approach for fruit quality control application and classification: case study of apple, chikoo, guava fruits, Journal of Food Science and Technology (2015-11-01) 52: 6978–6989, November 01, 2015.
Licciardi, Giorgio Antonino Hyperspectral Data in Urban Areas Encyclopedia of Earthquake Engineering (2015-01-01): 1155–1164, January 01, 2015.
Luo, Bin; Chanussot, Jocelyn Supervised Hyperspectral Image Classification Based on Spectral Unmixing and Geometrical Features, Journal of Signal Processing Systems (2011-12-01) 65: 457–468, December 01, 2011.
Xia, Junshi; Chanussot, Jocelyn; Du, Peijun; He, Xiyan, Rotation-Based Ensemble Classifiers for High-Dimensional Data, Fusion in Computer Vision (2014-03-26): 135–160, March 26, 2014.
Hernández-Sánchez, Natalia; Moreda, Guillermo P.; Herre-ro-Langreo, Ana; Melado-Herreros, Ángela, Assessment of Internal and External Quality of Fruits and Vegetables, Imaging Technologies and Data Processing for Food Engineers (2016-01-01): 269–309, January 01, 2016.
Chen, Weishi; Guillaume, Mireille, HALS-based NMF with flexible constraints for hyperspectral unmixing, EURASIP Journal on Advances in Signal Processing (2012-03-05) 2012: 1–14, March 05, 2012.
Zhang, Bing; Yang, Wei; Gao, Lianru; Chen, Dongmei Real-time target detection in hyperspectral images based on spatial-spectral information extraction EURASIP Journal on Advances in Signal Processing (2012-07-13) 2012: 1–15, July 13, 2012.
Gao, Lianru; Zhang, Bing; Sun, Xu; Li, Shanshan; Du, Qian; Wu, Changshan Optimized maximum noise fraction for dimensionality reduction of Chinese HJ-1A hyperspectral data EURASIP Journal on Advances in Signal Processing (2013-04-02) 2013: 1–12, April 02, 2013.
Gao, Lianru; Zhuang, Lina; Wu, Yuanfeng; Sun, Xu; Zhang, Bing A quantitative and comparative analysis of different preprocessing implementations of DPSO: a robust endmember extraction algorithm Soft Computing (2014-11-06): 1–15, November 06, 2014.
Liu, Jun; Zhou, Xiran; Huang, Junyi; Liu, Shuguang; Li, Huali; Wen, Shan; Liu, Junchen Semantic classification for hyperspectral image by integrating distance measurement and relevance vector machine, Multimedia Systems (2015-03-18): 1–10, March 18, 2015.
Zhang, Hao; Hu, Hao; Zhang, Xiaobin; Wang, Kelin; Song, Tongqing; Zeng, Fuping Detecting Suaeda salsa L. chlorophyll fluorescence response to salinity stress by using hyperspectral reflectance, Acta Physiologiae Plantarum (2012-03-01) 34: 581–588, March 01, 2012.
Yu, Ke-Qiang; Zhao, Yan-Ru; Liu, Zi-Yi; Li, Xiao-Li; Liu, Fei; He, Yong Application of Visible and Near-Infrared Hyperspectral Imaging for Detection of Defective Features in Loquat Food and Bioprocess Technology (2014-11-01) 7: 3077–3087, November 01, 2014.
Li, Xiaorun; Cui, Jiantao; Zhao, Liaoying Blind nonlinear hyperspectral unmixing based on constrained kernel nonnegative matrix factorization, Signal, Image and Video Processing (2014-11-01) 8: 1555–1567, November 01, 2014.
Wu, Di; Wang, Songjing; Wang, Nanfei; Nie, Pengcheng; He, Yong; Sun, Da-Wen; Yao, Jiansong Application of Time Series Hyperspectral Imaging (TS-HSI) for Determining Water Distribution Within Beef and Spectral Kinetic Analysis During Dehydration Food and Bioprocess Technology (2013-11-01) 6: 2943–2958, November 01, 2013.
Pan, Leiqing; Lu, Renfu; Zhu, Qibing; Tu, Kang; Cen, Haiyan Predict Compositions and Mechanical Properties of Sugar Beet Using Hyperspectral Scattering, Food and Bioprocess Technology (2016-03-07): 1–10, March 07, 2016.
Martinelli, Federico; Scalenghe, Riccardo; Davino, Salvatore; Panno, Stefano; Scuderi, Giuseppe; Ruisi, Paolo; Villa, Paolo; Stroppiana, Daniela; Boschetti, Mirco; Goulart, Luiz R.; Davis, Cristina E.; Dandekar, Abhaya M. Advanced methods of plant disease detection. A review Agronomy for Sustainable Development (2015-01-01) 35: 1–25, January 01, 2015.
Khorram, Siamak; Koch, Frank H.; Wiele, Cynthia F.; Nelson, Stacy A. C.Data Acquisition Remote Sensing (2012-01-01): 17–37, January 01, 2012.
Pan, Zhihong; Healey, Glenn; Tromberg, Bruce Comparison of Spectral-Only and Spectral/Spatial Face Recognition for Personal Identity Verification EURASIP Journal on Advances in Signal Processing (2009-05-26) 2009: 1–6, May 26, 2009.
Underwood, E. C.; Mulitsch, M. J.; Greenberg, J. A.; Whiting, M. L.; Ustin, S. L.; Kefauver, S. C.Mapping Invasive Aquatic Vegetation in the Sacramento-San Joaquin Delta using Hyperspectral Imagery, Environmental Monitoring and Assessment (2006-10-01) 121: 47–64, October 01, 2006.
Herold, Martin; Roberts, Dar A. The Spectral Dimension in Urban Remote Sensing, Remote Sensing of Urban and Suburban Areas (2010-01-01) 10: 47–65, January 01, 2010.
Ramakrishna, Bharath; Plaza, Antonio J.; Chang, Chein-I; Ren, Hsuan; Du, Qian; Chang, Chein-Chi Spectral/Spatial Hyperspectral Image Compression, Hyperspectral Data Compression (2006-01-01): 309–346, January 01, 2006.
Benedetto, John J.; Czaja, Wojciech; Ehler, Martin Wavelet packets for time-frequency analysis of multispectral imagery, GEM - International Journal on Geomathematics (2013-11-01) 4: 137–154, November 01, 2013.
Yang, Chun-Chieh; Kim, Moon S.; Kang, Sukwon; Tao, Tao; Chao, Kuanglin; Lefcourt, Alan M.; Chan, Diane E. The development of a simple multispectral algorithm for detection of fecal contamination on apples using a hyperspectral line-scan imaging system, Sensing and Instrumentation for Food Quality and Safety (2011-03-01) 5: 10–18, March 01, 2011.
Safavi, Haleh; Chang, Chein-I; Plaza, Antonio J.Projection Pursuit-Based Dimensionality Reduction for Hyperspectral Analysis Satellite Data Compression (2011-01-01): 287–309, January 01, 2011.
Benedetto, John J.; Czaja, Wojciech Dimension Reduction and Remote Sensing Using Modern Harmonic Analysis, Handbook of Geomathematics (2015-01-01): 2609–2632, January 01, 2015.
Dian, Yuanyong; Fang, Shenghui; Le, Yuan; Xu, Yongrong; Yao, Chonghuai Comparison of the Different Classifiers in Vegetation Species Discrimination Using Hyperspectral Reflectance Data Journal of the Indian Society of Remote Sensing (2014-03-01) 42: 61–72, March 01,
Dian, Yuanyong; Le, Yuan; Fang, Shenghui; Xu, Yongrong; Yao, Chonghuai; Liu, Gang Influence of Spectral Bandwidth and Position on Chlorophyll Content Retrieval at Leaf and Canopy Levels Journal of the Indian Society of Remote Sensing (2016-02-13): 1–11, February 13, 2016.
Zhang, Liangpei; Zhong, Yanfei Analysis of Hyperspectral Remote Sensing Images Geospatial Technology for Earth Observation (2009-01-01): 235–269, January 01, 2009.
Du, Bo; Wang, Nan; Zhang, Liangpei; Tao, Dacheng Hyperspectral Medical Images Unmixing for Cancer Screening Based on Rotational Independent Component Analysis Intelligence Science and Big Data Engineering (2013-01-01) 8261: 336–343, January 01, 2013.
Zhang, Lefei; Zhang, Liangpei; Tao, Dacheng; Huang, Xin; Du, Bo Nonnegative Discriminative Manifold Learning for Hyperspectral Data Dimension Reduction Intelligence Science and Big Data Engineering (2013-01-01) 8261: 351–358, January 01, 2013.
Shen, Yingchun; Jin, Hai; Du, Bo An improved method to detect remote sensing image targets captured by sensor network Wuhan University Journal of Natural Sciences (2011-08-02) 16: 301–307, August 02, 2011.
Chang, Chein-I Hyperspectral Target Detection Real-Time Progressive Hyperspectral Image Processing (2016-01-01): 131–172, January 01, 2016.
Ramakrishna, Bharath; Plaza, Antonio J.; Chang, Chein-I; Ren, Hsuan; Du, Qian; Chang, Chein-Chi Spectral/Spatial Hyperspectral Image Compression, Hyperspectral Data Compression (2006-01-01): 309–346, January 01, 2006.
Veganzones, Miguel A.; Graña, Manuel Hybrid Computational Methods for Hyperspectral Image Analysis Hybrid Artificial Intelligent Systems (2012-01-01): 7209, January 01, 2012.
Moreno, Ramón; Graña, Manuel Segmentation of Hyperspectral Images by Tuned Chromatic Watershed Recent Advances in Knowledge-based Paradigms and Applications (2013-10-31) 234: 103–113, October 31, 2013.
Wu, Di; Sun, Da-Wen Hyperspectral Imaging Technology: A Nondestructive Tool for Food Quality and Safety Evaluation and Inspection Advances in Food Process Engineering Research and Applications (2013-09-13): 581–606, September 13, 2013.
Chen, Yu-Nan; Sun, Da-Wen; Cheng, Jun-Hu; Gao, Wen-Hong Recent Advances for Rapid Identification of Chemical Information of Muscle Foods by Hyperspectral Imaging Analysis Food Engineering Reviews (2016-04-04): 1–15, April 04, 2016.
Wu, Di; Sun, Da-Wen Hyperspectral Imaging Technology: A Nondestructive Tool for Food Quality and Safety Evaluation and Inspection Advances in Food Process Engineering Research and Applications (2013-09-13): 581–606, September 13, 2013.
Chen, Yu-Nan; Sun, Da-Wen; Cheng, Jun-Hu; Gao, Wen-Hong Recent Advances for Rapid Identification of Chemical Information of Muscle Foods by Hyperspectral Imaging Analysis Food Engineering Reviews (2016-04-04): 1–15, April 04, 2016.
Goodacre, Royston; Burton, Rebecca; Kaderbhai, Naheed; Timmins, Éadaoin M.; Woodward, Andrew; Rooney, Paul J.; Kell, Douglas B. Intelligent Systems for the Characterization of Microorganisms from Hyperspectral Data Rapid Methods for Analysis of Biological Materials in the Environment (2000-01-01) 30: 111–136, January 01, 2000.
Winder, Catherine L.; Cornmell, Robert; Schuler, Stephanie; Jarvis, Roger M.; Stephens, Gill M.; Goodacre, Royston Metabolic fingerprinting as a tool to monitor whole-cell biotransformations Analytical and Bioanalytical Chemistry (2011-01-01) 399: 387-401, January 01, 2011.
Wang, Liguo; Zhao, Chunhui Introduction of Hyperspectral Remote Sensing Applications Hyperspectral Image Processing (2016-01-01): 283-308, January 01, 2016.
Yang, Jinghui; Wang, Liguo; Qian, Jinxi Hyperspectral Imagery Classification Based on Sparse Feature and Neighborhood Homogeneity, Journal of the Indian Society of Remote Sensing (2015-09-01) 43: 445-457, September 01, 2015.
Yang, Chenghai; Everitt, James H. Using spectral distance, spectral angle and plant abundance derived from hyperspectral imagery to characterize crop yield variation, Precision Agriculture (2012-02-01) 13: 62-75, February 01, 2012.
Yang, Chenghai; Everitt, James H.; Bradford, Joe M. Airborne hyperspectral imagery and linear spectral unmixing for mapping variation in crop yield, Precision Agriculture (2007-12-01) 8: 279-296, December 01, 2007.
Prabhu, N.; Arora, Manoj K.; Balasubramanian, R. Wavelet Based Feature Extraction Techniques of Hyperspectral Data, Journal of the Indian Society of Remote Sensing (2016-01-29): 1–12, January 29, 2016.
Yang, Jinghui; Wang, Liguo; Qian, Jinxi Hyperspectral Imagery Classification Based on Sparse Feature and Neighborhood Homogeneity, Journal of the Indian Society of Remote Sensing (2015-09-01) 43: 445–457, September 01, 2015.
Lausch, Angela; Pause, Marion; Merbach, Ines; Zacharias, Steffen; Doktor, Daniel; Volk, Martin; Seppelt, Ralf A new multiscale approach for monitoring vegetation using remote sensing-based indicators in laboratory, field, and landscape Environmental Monitoring and Assessment (2013-02-01) 185: 1215–1235, February 01, 2013.
Lausch, Angela; Pause, Marion; Doktor, Daniel; Preidl, Sebastian; Schulz, Karsten Monitoring and assessing of landscape heterogeneity at different scales Environmental Monitoring and Assessment (2013-11-01) 185: 9419–9434, November 01, 2013.
Vermeulen, Ph.; Fernández Pierna, J. A.; Egmond, H. P.; Zegers, J.; Dardenne, P.; Baeten, V.Validation and transferability study of a method based on near-infrared hyperspectral imaging for the detection and quantification of ergot bodies in cereals Analytical and Bioanalytical Chemistry (2013-09-01) 405: 7765–7772, September 01, 2013.
Williams, Paul J.; Geladi, Paul; Britz, Trevor J.; Manley, Marena Near-infrared (NIR) hyperspectral imaging and multivariate image analysis to study growth characteristics and differences between species and strains of members of the genus Fusarium Analytical and Bioanalytical Chemistry (2012-10-01) 404: 1759–1769, October 01, 2012.
Ebadi, Ladan; Shafri, Helmi Z. M.; Mansor, Shattri B.; Ashurov, Ravshan A review of applying second-generation wavelets for noise removal from remote sensing data Environmental Earth Sciences (2013-11-01) 70: 2679–2690, November 01, 2013.
Ebadi, Ladan; Shafri, Helmi Z. M.Compression of remote sensing data using second-generation wavelets: a review Environmental Earth Sciences (2014-02-01) 71: 1379–1387, February 01, 2014.
Veganzones, Miguel A.; Graña, Manuel Hybrid Computational Methods for Hyperspectral Image Analysis Hybrid Artificial Intelligent Systems (2012-01-01): 7209, January 01, 2012.
Qian, Shen-En Development of On-Board Data Compression Technology at Canadian Space Agency Satellite Data Compression (2011-01-01): 1–28, January 01, 2011.
Zou, Xiaobo; Zhao, Jiewen Hyperspectral Imaging Detection Nondestructive Measurement in Food and Agro-products (2015-01-01): 127–193, January 01, 2015.
Prabhakar, M.; Prasad, Y. G.; Rao, Mahesh N. Remote Sensing of Biotic Stress in Crop Plants and Its Applications for Pest Management Crop Stress and its Management: Perspectives and Strategies (2012-01-01): 517–545, January 01, 2012.
Mookambiga, A.; Gomathi, V. Comprehensive review on fusion techniques for spatial information enhancement in hyperspectral imagery, Multidimensional Systems and Signal Processing (2016-04-27): 1–27, April 27, 2016.
Appice, Annalisa; Guccione, Pietro; Malerba, Donato Transductive hyperspectral image classification: toward integrating spectral and relational features via an iterative ensemble system Machine Learning (2016-03-22): 1–33, March 22, 2016.
Prabhu, N.; Arora, Manoj K.; Balasubramanian, R. Wavelet Based Feature Extraction Techniques of Hyperspectral Data, Journal of the Indian Society of Remote Sensing (2016-01-29): 1–12, January 29, 2016.
Hasanlou, Mahdi; Samadzadegan, Farhad; Homayouni, Saeid SVM-based hyperspectral image classification using intrinsic dimension Arabian Journal of Geosciences (2015-01-01) 8: 477–487, January 01, 2015.
Chang, Chein-I Back Matter - Real-Time Progressive Hyperspectral Image Processing Real-Time Progressive Hyperspectral Image Processing (2016-01-01), January 01, 2016.
Wang, Liguo; Zhao, Chunhui Introduction of Hyperspectral Remote Sensing Applications Hyperspectral Image Processing (2016-01-01): 283–308, January 01, 2016.
Chaudhuri, Subhasis; Kotwal, Ketan Introduction Hyperspectral Image Fusion (2013-01-01): 1–18, January 01, 2013.
Wang, Liguo; Zhao, Chunhui Basic Theory and Main Processing Techniques of Hyperspectral Remote Sensing Hyperspectral Image Processing (2016-01-01): 1–44, January 01, 2016.
Ülkü, İrem; Töreyin, Behçet Uğur Sparse coding of hyperspectral imagery using online learning Signal, Image and Video Processing (2015-05-01) 9: 959–966, May 01, 2015.
Sánchez, Sergio; Plaza, Antonio Fast determination of the number of endmembers for real-time hyperspectral unmixing on GPUs Journal of Real-Time Image Processing (2014-09-01) 9: 397–405, September 01, 2014.
Li, Xiaorun; Cui, Jiantao; Zhao, Liaoying Blind nonlinear hyperspectral unmixing based on constrained kernel nonnegative matrix factorization Signal, Image and Video Processing (2014-11-01) 8: 1555–1567, November 01, 2014.
Qin, Zhen; Shi, Zhenwei; Jiang, Zhiguo A quasi-Newton-based spatial multiple materials detector for hyperspectral imagery Neural Computing and Applications (2013-08-01) 23: 403–409, August 01, 2013.
Chang, Chein-I Hyperspectral Target Detection Real-Time Progressive Hyperspectral Image Processing (2016-01-01): 131–172, January 01, 2016.
Luo, Bin; Chanussot, Jocelyn Supervised Hyperspectral Image Classification Based on Spectral Unmixing and Geometrical Features Journal of Signal Processing Systems (2011-12-01) 65: 457–468, December 01, 2011.
Wang, Tao; Zhu, Zhigang; Krzaczek, Robert S.; Rhody, Harvey E.A System Approach to Adaptive Multimodal Sensor Designs Machine Vision Beyond Visible Spectrum (2011-01-01) 1: 159–176, January 01, 2011.
Shao, Ming; Wang, Yunhong; Liu, Peijiang Face Relighting Based on Multi-spectral Quotient Image and Illumination Tensorfaces Computer Vision – ACCV 2009 (2010-01-01) 5996: 108–117, January 01, 2010.
Fadzil, M. H. Ahmad; Nugroho, Hermawan; Jolivot, Romuald; Marzani, Franck; Shamsuddin, Norashikin; Baba, Roshidah Modelling of Reflectance Spectra of Skin Phototypes III Visual Informatics: Sustaining Research and Innovations (2011-01-01) 7066: 352–360, January 01, 2011.
Lefèvre, Sébastien; Aptoula, Erchan; Perret, Benjamin; Weber, Jonathan Morphological Template Matching in Color Images Advances in Low-Level Color Image Processing (2013-12-17) 11: 241–277, December 17, 2013.
Galeano, July; Jolivot, Romuald; Marzani, Franck Analysis of Human Skin Hyper-Spectral Images by Non-negative Matrix Factorization Advances in Soft Computing (2011-01-01) 7095: 431–442, January 01, 2011.
Jia, Hongjie; Ding, Shifei; Meng, Lingheng; Fan, Shuyan A density-adaptive affinity propagation clustering algorithm based on spectral dimension reduction Neural Computing and Applications (2014-12-01) 25: 1557–1567, December 01, 2014.
Fisher R. A. The Use of Multiple Measurements in Taxonomic Problems, Annals of Eugenics, 1936, 7, 179–88.
Hanley J.A., McNeil B. J., The meaning and use of the area under receiving operating characteristic (ROC) curve, Radiology 1982, 43, 29–36.
Anscombe F. J., Graphs in Statistical Analysis, The American Statistician, 27 (1973), 17–21.
Bradley A. P., The use of the area under the ROC curve in the evaluation of machine learning algorithms, Reference Recognition, 1997, 30 (7), 1145–59.
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Koprowski, R. (2017). Introduction. In: Processing of Hyperspectral Medical Images. Studies in Computational Intelligence, vol 682. Springer, Cham. https://doi.org/10.1007/978-3-319-50490-2_1
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