| 書(shū)目名稱(chēng) | Real-Time Progressive Hyperspectral Image Processing | | 副標(biāo)題 | Endmember Finding an | | 編輯 | Chein-I Chang | | 視頻video | http://file.papertrans.cn/823/822282/822282.mp4 | | 概述 | Includes preliminary background which is essential to those who work in hyperspectral imaging area.Develops sequential and progressive algorithms for finding endmembers as they relate to real time hyp | | 圖書(shū)封面 |  | | 描述 | .The book covers the most crucial parts of real-time hyperspectral image processing: causality and real-time capability. Recently, two new concepts of real time hyperspectral image processing, Progressive HyperSpectral Imaging (PHSI) and Recursive HyperSpectral Imaging (RHSI). Both of these can be used to design algorithms and also form an integral part of real time hyperpsectral image processing. This book focuses on progressive nature in algorithms on their real-time and causal processing implementation in two major applications, endmember finding and anomaly detection, both of which are fundamental tasks in hyperspectral imaging but generally not encountered in multispectral imaging. This book is written to particularly address PHSI in real time processing, while a book, Recursive Hyperspectral Sample and Band Processing: Algorithm Architecture and Implementation (Springer 2016) can be considered as its companion book.. | | 出版日期 | Book 2016 | | 關(guān)鍵詞 | Causal hyperspectral image processing; Hyperspectral data analysis; Hyperspectral imaging; Progressive | | 版次 | 1 | | doi | https://doi.org/10.1007/978-1-4419-6187-7 | | isbn_softcover | 978-1-4939-7925-7 | | isbn_ebook | 978-1-4419-6187-7 | | copyright | Springer Science+Business Media, LLC 2016 |
The information of publication is updating
|
|
|Archiver|手機(jī)版|小黑屋|
派博傳思國(guó)際
( 京公網(wǎng)安備110108008328)
GMT+8, 2025-10-12 16:23
發(fā)表于 2025-3-21 16:50:47
