Automatic Detection Algorithms of Oil Spill in Radar Images
暫譯: 雷達影像中油污自動檢測演算法
Marghany, Maged
- 出版商: CRC
- 出版日期: 2019-10-04
- 售價: $7,330
- 貴賓價: 9.5 折 $6,964
- 語言: 英文
- 頁數: 310
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 0367146606
- ISBN-13: 9780367146603
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相關分類:
Algorithms-data-structures
海外代購書籍(需單獨結帳)
商品描述
Synthetic Aperture Radar Automatic Detection Algorithms (SARADA) for Oil Spills conveys the pivotal tool required to fully comprehend the advanced algorithms in radar monitoring and detection of oil spills, particularly quantum computing and algorithms as a keystone to comprehending theories and algorithms behind radar imaging and detection of marine pollution. Bridging the gap between modern quantum mechanics and computing detection algorithms of oil spills, this book contains precise theories and techniques for automatic identification of oil spills from SAR measurements. Based on modern quantum physics, the book also includes the novel theory on radar imaging mechanism of oil spills.
With the use of precise quantum simulation of trajectory movements of oil spills using a sequence of radar images, this book demonstrates the use of SARADA for contamination by oil spills as a promising novel technique.
Key Features:
- Introduces basic concepts of a radar remote sensing.
- Fills a gap in the knowledge base of quantum theory and microwave remote sensing.
- Discusses the important aspects of oil spill imaging in radar data in relation to the quantum theory.
- Provides recent developments and progresses of automatic detection algorithms of oil spill from radar data.
- Presents 2-D oil spill radar data in 4-D images.
商品描述(中文翻譯)
合成孔徑雷達自動檢測演算法（SARADA）針對油污洩漏提供了理解雷達監測和檢測油污洩漏的先進演算法所需的關鍵工具，特別是量子計算和演算法作為理解雷達成像和海洋污染檢測背後理論的基石。本書彌合了現代量子力學與油污洩漏檢測演算法之間的鴻溝，包含了從SAR測量中自動識別油污洩漏的精確理論和技術。基於現代量子物理，本書還包括了關於油污洩漏雷達成像機制的新理論。
本書利用精確的量子模擬油污洩漏的軌跡運動，使用一系列雷達影像，展示了SARADA在油污污染檢測中的應用，作為一種有前景的新技術。
主要特點：
- 介紹雷達遙感的基本概念。
- 填補量子理論和微波遙感知識基礎的空白。
- 討論油污洩漏成像在雷達數據中與量子理論相關的重要方面。
- 提供從雷達數據中自動檢測油污洩漏的最新發展和進展。
- 以4D影像呈現2D油污洩漏雷達數據。
作者簡介
Maged Marghany is currently a professor of remote sensing in the Faculty of Geospatial and Real Estate, Geomatika University College (GUC), Malaysia. He authored Advanced Remote Sensing Technology for Tsunami Modelling and Forecasting, published in 2018. His research focuses on microwave remote sensing and remote sensing for mineralogy detection and mapping. Previously, he worked as a Deputy Director in Research and Development at the Institute of Geospatial Science and Technology and the Department of Remote Sensing, both at Universiti Teknologi Malaysia. Maged has earned many degrees, including a post-doctoral in radar remote sensing from the International Institute for Aerospace Survey and Earth Sciences, a PhD in environmental remote sensing from the Universiti Putra Malaysia, a Master of Science in physical oceanography from the University Pertanian Malaysia, general and special diploma of Education and a Bachelor of Science in physical oceanography from the University of Alexandria in Egypt. Maged has published well over 250 papers in international conferences and journals and is active in International Geoinformatics, and the International Society for Photogrammetry and Remote Sensing (ISPRS).
作者簡介(中文翻譯)
Maged Marghany 目前是馬來西亞地理空間與不動產學院 (Geomatika University College, GUC) 遙感學教授。他於2018年出版了 Advanced Remote Sensing Technology for Tsunami Modelling and Forecasting。他的研究專注於微波遙感以及礦物學檢測與繪圖的遙感技術。之前，他曾擔任馬來西亞科技大學 (Universiti Teknologi Malaysia) 地理空間科學與技術研究所及遙感部門的研究與發展副主任。Maged 擁有多個學位，包括來自國際航空測量與地球科學研究所的雷達遙感博士後學位、來自馬來西亞普特拉大學 (Universiti Putra Malaysia) 的環境遙感博士學位、來自馬來西亞農業大學 (University Pertanian Malaysia) 的物理海洋學碩士學位，以及來自埃及亞歷山大大學 (University of Alexandria) 的教育一般與特殊文憑及物理海洋學學士學位。Maged 在國際會議和期刊上發表了超過250篇論文，並活躍於國際地理資訊科學及國際攝影測量與遙感學會 (ISPRS)。
