Understanding Hyperspectral Image and Signal Processing
暫譯: 理解高光譜影像與信號處理
Paul D. Gader, Jocelyn Chanussot
- 出版商: Wiley
- 出版日期: 2019-01-31
- 售價: $4,130
- 貴賓價: 9.5 折 $3,924
- 語言: 英文
- 頁數: 512
- 裝訂: Hardcover
- ISBN: 111855051X
- ISBN-13: 9781118550519
海外代購書籍(需單獨結帳)
相關主題
商品描述
One of the first texts to focus on investigating, designing and implementing algorithms and computer programs as an introduction to the rapidly evolving field of hyperspectral image and signal processing
Covering a range of applications, the authors provide a tutorial on hyperspectral image analysis, focusing on the mathematical, physical, and algorithmic models necessary to devise programs that can extract the useful information that is present in measured hyperspectral data. The amount of data produced by a hyperspectral imaging device can be enormous so care and advanced processing steps must be taken to efficiently and effectively extract information. The reader will learn about these processing steps. The authors take the readers through the topic step-by-step; from the physics foundations of the acquisition process, to the particular algorithms and families of processing tools for classification, feature selection/extraction, visualization, unmixing and classification. Homework problems are provided whereby some problems are mathematical in nature whereas others involve writing brief computer programs.
- Describes the science and hardware technology underlying hyperspectral image analysis.
- Focuses on the mathematical and algorithmic concepts for processing hyperspectral data.
- Teaches readers the conceptual basis of how the hundreds of bands in spectral pixels can be used to gather information about the materials and objects that are present in the field of view (or scene) of a hyperspectral camera.
- Outlines how to write programs that can find things that are smaller than a single pixel, and in turn details how to write programs that can describe and classify components of a scene.
- Shows how programs can use spatial information together with spectral information to produce more accurate automated analyses of images.
- Illustrates methods with a number of examples from across several applications areas, such as estimating the extent of an oil spill, detecting toxic gases around industrial plants or for homeland security, imaging human tissue to aid medical diagnosis.
- Includes companion website hosted by the authors offering publicly available hyperspectral images and sample programs for processing, as well as Matlab code.
商品描述(中文翻譯)
本書是首批專注於調查、設計和實現演算法及電腦程式的文本之一,作為快速發展的高光譜影像與信號處理領域的入門書籍
本書涵蓋多種應用,作者提供了一個高光譜影像分析的教程,重點介紹了設計能夠提取測量的高光譜數據中有用信息所需的數學、物理和演算法模型。高光譜成像設備產生的數據量可能是巨大的,因此必須採取謹慎和先進的處理步驟,以有效且高效地提取信息。讀者將學習這些處理步驟。作者逐步引導讀者了解該主題;從獲取過程的物理基礎,到特定的演算法和處理工具的家族,用於分類、特徵選擇/提取、可視化、解混合和分類。書中提供了作業題目,其中一些問題具有數學性質,而其他問題則涉及編寫簡短的電腦程式。
- 描述了高光譜影像分析背後的科學和硬體技術。
- 專注於處理高光譜數據的數學和演算法概念。
- 教導讀者如何利用光譜像素中的數百個波段來收集有關在高光譜相機視野(或場景)中存在的材料和物體的信息的概念基礎。
- 概述如何編寫能夠找到小於單個像素的物體的程式,並詳細說明如何編寫能夠描述和分類場景組件的程式。
- 展示程式如何結合空間信息和光譜信息,以產生更準確的自動影像分析。
- 通過多個應用領域的示例來說明方法,例如估算油污的範圍、檢測工廠周圍的有毒氣體或國土安全、成像人體組織以輔助醫療診斷。
- 包括由作者主辦的伴隨網站,提供公開可用的高光譜影像和處理的範例程式,以及Matlab代碼。