Super-Resolution for Remote Sensing

Kawulok, Michal, Kawulok, Jolanta, Smolka, Bogdan

Super-Resolution for Remote Sensing
  • 出版商: Springer
  • 出版日期: 2024-10-15
  • 售價: $4,800
  • 貴賓價: 9.5 折 $4,560
  • 語言: 英文
  • 頁數: 384
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 3031681053
  • ISBN-13: 9783031681059

    • 海外代購書籍(需單獨結帳)

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商品描述

This book provides a comprehensive perspective over the landscape of super-resolution techniques developed for and applied to remotely-sensed images. The chapters tackle the most important problems that professionals face when dealing with super-resolution in the context of remote sensing. These are: evaluation procedures to assess the super-resolution quality; benchmark datasets (simulated and real-life); super-resolution for specific data modalities (e.g., panchromatic, multispectral, and hyperspectral images); single-image super-resolution, including generative adversarial networks; multi-image fusion (temporal and/or spectral); real-world super-resolution; and task-driven super-resolution. The book presents the results of several recent surveys on super-resolution specifically for the remote sensing community.

商品描述(中文翻譯)

本書提供了對於為遙感影像開發和應用的超解析技術的全面觀點。各章節探討了專業人士在遙感背景下處理超解析時所面臨的最重要問題，包括：評估程序以評估超解析質量；基準數據集（模擬和實際）；針對特定數據模式的超解析（例如，單色、 multispectral 和 hyperspectral 影像）；單幅影像超解析，包括生成對抗網絡；多幅影像融合（時間和/或光譜）；現實世界的超解析；以及任務驅動的超解析。本書呈現了幾項針對遙感社群的超解析最新調查結果。

作者簡介

Michal Kawulok, M.Sc. (2003), Ph.D. (2007), D.Sc. (2015) is a Professor at the Silesian University of Technology (Gliwice, Poland). He has been involved in numerous successfully completed projects in both academia and industry, and recently has led projects related with super-resolution reconstruction of satellite images, funded by European Space Agency and executed at KP Labs (Gliwice, Poland). Prof. Kawulok has published over 150 papers in peer-reviewed journals and conference proceedings on pattern recognition and image processing. His general research interests are concerned with image processing, pattern recognition and machine learning, with particular attention given to super-resolution reconstruction, face and gesture recognition, linear and non-linear dimensionality reduction techniques, and support vector machines. He is a senior member of the IEEE.

Jolanta Kawulok received the Eng., M.Sc., and Ph.D. degrees in 2009, 2010, and 2015, respectively, from the Faculty of Automatic Control, Electronics and Computer Science, Silesian University of Technology, Gliwice, Poland. Currently she is an Assistant Professor in the Department of Algorithmics and Software at the Silesian University of Technology. Her main research interests include data mining, image processing, genome sequence analysis, metagenomics, and biomedical data analysis.

Bogdan Smolka received the Diploma in Physics degree from the Silesian University, Katowice, Poland, in 1986 and the PhD degree in Computer Science from the Department of Automatic Control, Silesian University of Technology, Gliwice, Poland, in 1998. In 2007, he was promoted to Professor. He has published over 300 papers on digital signal and image processing in refereed journals and conference proceedings. His current research interests include low-level color image processing, human-computer interaction, visual aspects of image quality and applications of artificial intelligence in computer vision. His impact factor according to the Web of Science is 19 and he is in the top 2% of the most influential scientists according to the evaluation performed by Stanford University, Elsevier and SciTech Strategies.

M. Emre Celebi received his B.Sc. degree in Computer Engineering from the Middle East Technical University (Ankara, Turkey) in 2002. He received his M.Sc. and Ph.D. degrees in Computer Science and Engineering from the University of Texas at Arlington (Arlington, TX, USA) in 2003 and 2006, respectively. He is currently a Professor and the Chair of the Department of Computer Science and Engineering at the University of Central Arkansas. Dr. Celebi has actively pursued research in image processing/analysis and data mining with an emphasis on medical image analysis, color image processing, and partitional clustering. He has worked on several projects funded by the US National Science Foundation and the US National Institutes of Health and published over 160 articles in reputable journals and conference proceedings. As of June 2024, his work has received over 17,000 citations with an h-index of 59 (Google Scholar). He is a senior member of the IEEE (since 2011) and a fellow of the SPIE (since 2021).

作者簡介(中文翻譯)

Michal Kawulok, M.Sc.（2003）、Ph.D.（2007）、D.Sc.（2015）是波蘭格利維采的西里西亞科技大學教授。他參與了許多成功完成的學術和產業專案，最近領導了與衛星影像超解析重建相關的專案，該專案由歐洲太空總署資助，並在KP Labs（波蘭格利維采）執行。Kawulok教授在模式識別和影像處理方面已發表超過150篇同行評審的期刊和會議論文。他的研究興趣主要集中在影像處理、模式識別和機器學習，特別關注超解析重建、人臉和手勢識別、線性和非線性降維技術以及支持向量機。他是IEEE的高級會員。

Jolanta Kawulok於2009年、2010年和2015年分別獲得波蘭格利維采西里西亞科技大學自動控制、電子和計算機科學系的工程學士、碩士和博士學位。目前她是西里西亞科技大學演算法與軟體系的助理教授。她的主要研究興趣包括資料探勘、影像處理、基因組序列分析、環境基因組學和生物醫學資料分析。

Bogdan Smolka於1986年獲得波蘭卡托維茨的西里西亞大學物理學文憑，並於1998年獲得波蘭格利維采西里西亞科技大學自動控制系的計算機科學博士學位。2007年，他晉升為教授。他在同行評審的期刊和會議論文上發表了超過300篇有關數位信號和影像處理的論文。他目前的研究興趣包括低階彩色影像處理、人機互動、影像品質的視覺方面以及人工智慧在計算機視覺中的應用。他的影響因子根據Web of Science為19，並根據史丹佛大學、Elsevier和SciTech Strategies的評估，他位於最具影響力科學家的前2%。

M. Emre Celebi於2002年獲得土耳其中東科技大學的計算機工程學士學位。2003年和2006年，他分別獲得美國德克薩斯州阿靈頓的德克薩斯大學計算機科學與工程碩士和博士學位。目前，他是美國中央阿肯色大學計算機科學與工程系的教授及系主任。Celebi博士積極從事影像處理/分析和資料探勘的研究，重點在醫學影像分析、彩色影像處理和分區聚類。他參與了多個由美國國家科學基金會和美國國立衛生研究院資助的專案，並在知名期刊和會議論文上發表了超過160篇文章。截至2024年6月，他的研究工作已獲得超過17,000次引用，h-index為59（Google Scholar）。他是IEEE的高級會員（自2011年起）和SPIE的會士（自2021年起）。

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