{"product_id":"multispectral-satellite-image-understanding-from-land-classification-to-building-and-road-detection-9781447126560","title":"Multispectral Satellite Image Understanding: From Land Classification to Building and Road Detection","description":"\u003cp\u003e • Author(s): Cem Ünsalan\u003cbr\u003e • Publisher: Springer\u003cbr\u003e • Publisher Imprint: Springer\u003cbr\u003e • BISAC: Image Processing\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eFrom the Back Cover\u003c\/b\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003eRapid development of remote sensing technology in recent years has greatly increased availability of high-resolution satellite image data. However, detailed analysis of such large data sets also requires innovative new techniques in image and signal processing.\u003c\/p\u003e\u003cp\u003eThis important text\/reference presents a comprehensive review of image processing methods, for the analysis of land use in residential areas. Combining a theoretical framework with highly practical applications, making use of both well-known methods and cutting-edge techniques in computer vision, the book describes a system for the effective detection of single houses and streets in very high resolution. \u003c\/p\u003e\u003cp\u003e\u003cb\u003eTopics and features: \u003c\/b\u003e\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eWith a Foreword by Prof. Dr. Peter Reinartz of the German Aerospace Center\u003c\/li\u003e\n\u003cli\u003eProvides end-of-chapter summaries and review questions\u003c\/li\u003e\n\u003cli\u003ePresents a detailed review on remote sensing satellites\u003c\/li\u003e\n\u003cli\u003eExamines the multispectral information that can be obtained from satellite images, with a focus on vegetation and shadow-water indices\u003c\/li\u003e\n\u003cli\u003eInvestigates methods for land-use classification, introducing precise graph theoretical measures over panchromatic images\u003c\/li\u003e\n\u003cli\u003eAddresses the problem of detecting residential regions\u003c\/li\u003e\n\u003cli\u003eDescribes a house and street network-detection subsystem\u003c\/li\u003e\n\u003cli\u003eConcludes with a summary of the key ideas covered in the book\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003eThis pioneering work on automated satellite and aerial image-understanding systems will be of great interest to researchers in both remote sensing and computer vision, highlighting the benefit of interdisciplinary collaboration between the two communities. Urban planners and policy makers will also find considerable value in the proposed system.\u003c\/p\u003e\u003cp\u003e\u003cb\u003eDr. Cem Ünsalan\u003c\/b\u003e is an Associate Professor in the Department of Electrical and Electronics Engineering at Yeditepe University, Istanbul, Turkey. \u003cb\u003eDr. Kim Boyer\u003c\/b\u003e is Professor and Head of the Department of Electrical, Computer, and Systems Engineering at Rensselaer Polytechnic Institute, Troy, NY, USA.\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e","brand":"Springer","offers":[{"title":"Paperback","offer_id":45274863599767,"sku":"9781447126560","price":10174.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/3471\/1191\/files\/9781447126560.webp?v=1769281163","url":"https:\/\/atlanticbooks.com\/products\/multispectral-satellite-image-understanding-from-land-classification-to-building-and-road-detection-9781447126560","provider":"Atlantic Books","version":"1.0","type":"link"}