{"product_id":"advances-in-hyperspectral-image-processing-techniques","title":"Advances in Hyperspectral Image Processing Techniques","description":"\u003cb\u003eAdvances in Hyperspectral Image Processing Techniques\u003c\/b\u003e \u003cp\u003e\u003cb\u003eAuthoritative and comprehensive resource covering recent hyperspectral imaging techniques from theory to applications\u003c\/b\u003e \u003c\/p\u003e\u003cp\u003e\u003ci\u003eAdvances in Hyperspectral Image Processing Techniques\u003c\/i\u003e is derived from recent developments of hyperspectral imaging (HSI) techniques along with new applications in the field, covering many new ideas that have been explored and have led to various new directions in the past few years. \u003c\/p\u003e\u003cp\u003eThe work gathers an array of disparate research into one resource and explores its numerous applications across a wide variety of disciplinary areas. In particular, it includes an introductory chapter on fundamentals of HSI and a chapter on extensive use of HSI techniques in satellite on-orbit and on-board processing to aid readers involved in these specific fields. \u003c\/p\u003e\u003cp\u003eThe book’s content is based on the expertise of invited scholars and is categorized into six parts. Part I provides general theory. Part II presents various Band Selection techniques for Hyperspectral Images. Part III reviews recent developments on Compressive Sensing for Hyperspectral Imaging. Part IV includes Fusion of Hyperspectral Images. Part V covers Hyperspectral Data Unmixing. Part VI offers different views on Hyperspectral Image Classification. \u003c\/p\u003e\u003cp\u003eSpecific sample topics covered in \u003ci\u003eAdvances in Hyperspectral Image Processing Techniques\u003c\/i\u003e include: \u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eTwo fundamental principles of hyperspectral imaging\u003c\/li\u003e\n\u003cli\u003eConstrained band selection for hyperspectral imaging and class information-based band selection for hyperspectral image classification\u003c\/li\u003e\n\u003cli\u003eRestricted entropy and spectrum properties for hyperspectral imaging and endmember finding in compressively sensed band domain\u003c\/li\u003e\n\u003cli\u003eHyperspectral and LIDAR data fusion, fusion of band selection methods for hyperspectral imaging, and fusion using multi-dimensional information\u003c\/li\u003e\n\u003cli\u003eAdvances in spectral unmixing of hyperspectral data and fully constrained least squares linear spectral mixture analysis\u003c\/li\u003e\n\u003cli\u003eSparse representation-based hyperspectral image classification; collaborative hyperspectral image classification; class-feature weighted hyperspectral image classification; target detection approach to hyperspectral image classification\u003c\/li\u003e\n\u003c\/ul\u003e \u003cp\u003eWith many applications beyond traditional remote sensing, ranging from defense and intelligence, to agriculture, to forestry, to environmental monitoring, to food safety and inspection, to medical imaging, \u003ci\u003eAdvances in Hyperspectral Image Processing Techniques\u003c\/i\u003e is an essential resource on the topic for industry professionals, researchers, academics, and graduate students working in the field.\u003c\/p\u003e","brand":"John Wiley \u0026 Sons Inc","offers":[{"title":"Default Title","offer_id":49607592771928,"sku":"9781119687764","price":164.92,"currency_code":"EUR","in_stock":true}],"url":"https:\/\/agendabookshop.com\/products\/advances-in-hyperspectral-image-processing-techniques","provider":"Agenda Bookshop","version":"1.0","type":"link"}