| 书目名称 | Spectral Mixture for Remote Sensing |
| 副标题 | Linear Model and App |
| 编辑 | Yosio Edemir Shimabukuro,Flávio Jorge Ponzoni |
| 视频video | |
| 概述 | Offers remote sensing techniques to understand the main aspects of spectral mixing.Presents the basic concepts and methods that explain spectral mixing, the spectral characterization of different obje |
| 丛书名称 | Springer Remote Sensing/Photogrammetry |
| 图书封面 |  |
| 描述 | This book explains in a didactic way the basic concepts of spectral mixing, digital numbers and orbital sensors, and then presents the linear modelling technique of spectral mixing and the generation of fractional images. In addition to presenting a theoretical basis for spectral mixing, the book provides examples of practical applications such as projects for estimating and monitoring deforested areas in the Amazon. In its seven chapters, the book offers remote sensing techniques to understand the main concepts, methods, and limitations of spectral mixing for digital image processing. .Chapter 1 addresses the basic concepts of spectral mixing, while chapters 2 and 3 discuss digital numbers and orbital sensors such as MODIS and Landsat MSS. Chapter 4 details the linear spectral mixing model, and chapter 5 talks about how to use this technique to create fraction images. Chapter 6 offers remote sensing applications of fraction images in deforestation monitoring, burned-area mapping, selective logging detection, and land-use/land-cover mapping. Chapter 7 gives some concluding thoughts on spectral mixing, and considers future uses in environmental remote sensing. This book will be of i |
| 出版日期 | Book 2019 |
| 关键词 | Photogrammetry; Linear spectral mixing model; Electro-optical sensors; Remote sensing; Digital numbers ( |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-030-02017-0 |
| isbn_ebook | 978-3-030-02017-0Series ISSN 2198-0721 Series E-ISSN 2198-073X |
| issn_series | 2198-0721 |
| copyright | Springer Nature Switzerland AG 2019 |
发表于 2025-3-21 17:07:33
