{"product_id":"9789819214037","title":"Computational Intelligence for Remote Sensing Image Change Detection","description":"\u003ch3\u003eSpringerBriefs in Computer Science\u003c\/h3\u003e\u003ch1\u003eComputational Intelligence for Remote Sensing Image Change Detection\u003c\/h1\u003e\u003ch3\u003eJiao Shi | Yu Lei | Maoguo Gong | Nan Zhang\u003c\/h3\u003e\u003cdiv\u003e\u003cb\u003eComputers \/ Artificial Intelligence \/ Computer Vision \u0026amp; Pattern Recognition\u003c\/b\u003e\u003c\/div\u003e\u003cbr\u003e\u003cdiv\u003e\n\u003cp class=\"MsoNormal\"\u003eNowadays, remote sensing systems and technologies have been widely studied and applied in environmental monitoring, land survey, and disaster management. As a pivotal remote sensing task, change detection aims to identify and quantify spatio-temporal changes using multi-temporal imagery, supporting timely decision-making and sustainable resource planning. Nevertheless, conventional change detection approaches remain limited in addressing challenges including sensitivity to noise, discrepancies in spatial resolution, sensor misalignment, and the fusion of multi-source heterogeneous data. To address these issues, advanced computational intelligence (CI) techniques, particularly deep learning and evolutionary computation, are being increasingly adopted, offering improved robustness and adaptability for modern change detection tasks.\u003c\/p\u003e\r\n\u003cp class=\"MsoNormal\"\u003eThis book establishes the first systematic framework of CI-driven methodologies in remote sensing change detection, providing a comprehensive exposition spanning theoretical foundations, algorithmic innovation, and empirical validation. Opening with the research principles of remote sensing change detection and core CI theories, it\u003cspan style=\"mso-spacerun: yes;\"\u003e  \u003c\/span\u003ecovers\u003cspan style=\"mso-spacerun: yes;\"\u003e  \u003c\/span\u003eCI-driven methodologies tailored to homogeneous (e.g., single-sensor time series) and heterogeneous (e.g., cross-sensor) paradigms. These methodologies address domain-critical challenges such as noise robustness, feature space alignment, and multi-source fusion through rigorously designed technical workflows that cover data preprocessing, adaptive model learning, and task-specific network architecture.\u003cspan style=\"mso-spacerun: yes;\"\u003e  \u003c\/span\u003eExtensive validation across diverse remote sensing data types—including synthetic aperture radar, optical, multispectral, and hyperspectral imagery—empirically confirms the operational efficacy of these methodologies in delivering accurate and robust change monitoring. \u003c\/p\u003e\r\n\u003cp class=\"MsoNormal\"\u003eBy bridging theory and practice, this book empowers readers to formulate complex problems, develop robust models, and apply cutting-edge CI techniques to remote sensing change detection tasks. It is ideal for researchers and engineers working at the intersection of remote sensing, machine learning, and computational intelligence who seek practical and scalable solutions for change detection in evolving environments.\u003c\/p\u003e\n\u003c\/div\u003e\u003cdiv\u003e\n\u003cp style=\"text-align: justify;\"\u003eJiao Shi, Professor of School of Electronics and Information, Northwestern Polytechnical University, Xi’an. \u003cspan style=\"color: black;\"\u003eHer research interests include computational intelligence and remote sensing image processing.\u003c\/span\u003e\u003c\/p\u003e\r\n\u003cp style=\"text-align: justify;\"\u003eYu Lei, Associate Professor of School of Electronics and Information, Northwestern Polytechnical University, Xi'an. His research interests include co\u003cspan style=\"color: black;\"\u003emputational intelligence and remote sensing image processing.\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/div\u003e\u003cbr\u003e\u003ctable\u003e\n\u003ctr\u003e\n\u003ctd\u003ePublication Date: \u003c\/td\u003e\n\u003ctd\u003e27 July 2026\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePublisher: \u003c\/td\u003e\n\u003ctd\u003eSpringer Nature Singapore\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eImprint: \u003c\/td\u003e\n\u003ctd\u003eSpringer\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eISBN-13: \u003c\/td\u003e\n\u003ctd\u003e9789819214037\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eFormat: \u003c\/td\u003e\n\u003ctd\u003ePaperback \/ softback\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePage Count: \u003c\/td\u003e\n\u003ctd\u003e146\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/table\u003e","brand":"Springer Nature Singapore","offers":[{"title":"Default Title","offer_id":47985092100236,"sku":"9789819214037","price":49.49,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0710\/9545\/1788\/files\/9789819214037.jpg?v=1781058120","url":"https:\/\/fh90cf-fv.myshopify.com\/products\/9789819214037","provider":"Late Knight Books and Services, LLC","version":"1.0","type":"link"}