{"product_id":"statistical-hyperspectral-detection-chein-i-chang-9781394202829","title":"Statistical Hyperspectral Detection: Signal Processing Perspectives","description":"\u003cp\u003e\u003cb\u003eComprehensive reference on hyperspectral target and anomaly detection discussing general theory and the latest HSI technological developments\u003c\/b\u003e \u003c\/p\u003e\u003cp\u003e\u003ci\u003eHyperspectral Target and Anomaly Detection\u003c\/i\u003e provides detailed information on the evolution of general theory of hyperspectral target detection and anomaly detection from the past two decades, covering advanced HSI technologies that have been developed in hyperspectral data exploitation such as various new versions of OSP, CEM, and VD. This book pays special focus to statistical signal processing approaches in hyperspectral target and anomaly detection. \u003c\/p\u003e\u003cp\u003e\u003ci\u003eHyperspectral Target and Anomaly Detection\u003c\/i\u003e discusses topics including: \u003c\/p\u003e\u003cul\u003e \u003cli\u003eFundamental principles for hyperspectral imaging, including the hyperspectral binary communication channel and applications of the pigeon-hole and orthogonality principles\u003c\/li\u003e \u003cli\u003ePassive anomaly detection, covering endmember finding and target-to-anomaly deletion conversions\u003c\/li\u003e \u003cli\u003eMatrix decomposition models, including low-rank and sparse subspace decomposition, background-anomaly decomposition analysis, and rank estimation for model orders\u003c\/li\u003e \u003cli\u003ePure-pixel, constrained energy minimization subpixel, and background-annihilated TCIMF target detection\u003c\/li\u003e \u003cli\u003eStatistical hyperspectral image classification, covering multiple hypothesis testing, CEM-based and LCMX-based classifiers, confusion matrices, and 3D ROC analysis\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003e\u003ci\u003eHyperspectral Target and Anomaly Detection\u003c\/i\u003e is a unique and up-to-date reference on the subject for students in electrical engineering and computer science as well as professionals and researchers in the fields of remote sensing, photogrammetry, geology, and forestry.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eAuthor:\u003c\/b\u003e Chein-I Chang\u003cbr\u003e\u003cb\u003eISBN-10:\u003c\/b\u003e 1394202822\u003cbr\u003e\u003cb\u003eISBN-13:\u003c\/b\u003e 9781394202829\u003cbr\u003e\u003cb\u003ePublisher:\u003c\/b\u003e Wiley-IEEE Press\u003cbr\u003e\u003cb\u003eLanguage:\u003c\/b\u003e English\u003cbr\u003e\u003cb\u003ePublished:\u003c\/b\u003e 08\/03\/2026\u003cbr\u003e\u003cb\u003ePages:\u003c\/b\u003e 800\u003cbr\u003e\u003cb\u003eFormat:\u003c\/b\u003e Hardcover\u003c\/p\u003e","brand":"Chein-I Chang","offers":[{"title":"Hardcover","offer_id":48518300074239,"sku":"9781394202829","price":155.0,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0662\/2982\/9887\/files\/img_c6668452-4b8a-4837-9a4e-5843b55e183e.jpg?v=1778734138","url":"https:\/\/www.whiterainbookhouse.com\/products\/statistical-hyperspectral-detection-chein-i-chang-9781394202829","provider":"WR Book House","version":"1.0","type":"link"}