{"product_id":"classification-methods-for-remotely-sensed-data-9781032573953","title":"Classification Methods for Remotely Sensed Data","description":"\u003cp\u003e • Author(s): Taskin Kavzoglu | Brandt Tso | Paul M. Mather\u003cbr\u003e • Publisher: CRC Press\u003cbr\u003e • Publisher Imprint: CRC Press\u003cbr\u003e • BISAC: Remote Sensing \u0026amp; Geographic Information Systems\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eThe third edition of the bestselling \u003ci\u003eClassification Methods for Remotely Sensed Data\u003c\/i\u003e covers current state-of-the-art machine learning algorithms and developments in the analysis of remotely sensed data. This book is thoroughly updated to meet the needs of readers today and provides six new chapters on deep learning, feature extraction and selection, multisource image fusion, hyperparameter optimization, accuracy assessment with model explainability, and object-based image analysis, which is relatively a new paradigm in image processing and classification. It presents new AI-based analysis tools and metrics together with ongoing debates on accuracy assessment strategies and XAI methods.\u003c\/p\u003e\u003cp\u003eNew in this edition: \u003c\/p\u003e\u003cul\u003e \u003cli\u003eProvides comprehensive background on the theory of deep learning and its application to remote sensing data.\u003c\/li\u003e \u003cli\u003eIncludes a chapter on hyperparameter optimization techniques to guarantee the highest performance in classification applications.\u003c\/li\u003e \u003cli\u003eOutlines the latest strategies and accuracy measures in accuracy assessment and summarizes accuracy metrics and assessment strategies.\u003c\/li\u003e \u003cli\u003eDiscusses the methods used for explaining inherent structures and weighing the features of ML and AI algorithms that are critical for explaining the robustness of the models.\u003c\/li\u003e \u003c\/ul\u003e\u003cp\u003eThis book is intended for industry professionals, researchers, academics, and graduate students who want a thorough and up-to-date guide to the many and varied techniques of image classification applied in the fields of geography, geospatial and earth sciences, electronic and computer science, environmental engineering, etc.\u003c\/p\u003e","brand":"CRC Press","offers":[{"title":"Paperback","offer_id":48057614074007,"sku":"9781032573953","price":7865.0,"currency_code":"INR","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/3471\/1191\/files\/9781032573953.webp?v=1784897320","url":"https:\/\/atlanticbooks.com\/products\/classification-methods-for-remotely-sensed-data-9781032573953","provider":"Atlantic Books","version":"1.0","type":"link"}