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Remote Sensing, Third Edition

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Robert A. Schowengerdt 作者
Academic Press
译者
2006-08-28 出版日期
560 页数
USD 94.95 价格
Hardcover
丛书系列
9780123694072 图书编码

Remote Sensing, Third Edition 在线电子书 图书标签: 遥感  地理  专业课程  植被指数  -读了一点  +已归还  +借阅@GeorgeGreen  #参考   


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发表于2025-01-09


Remote Sensing, Third Edition 在线电子书 epub 下载 mobi 下载 pdf 下载 txt 下载 2025

Remote Sensing, Third Edition 在线电子书 epub 下载 mobi 下载 pdf 下载 txt 下载 2025

Remote Sensing, Third Edition 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2025



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Remote Sensing, Third Edition 在线电子书 图书描述

Remote sensing is a technology that engages electromagnetic sensors to measure and monitor changes in the earths surface and atmosphere. Normally this is accomplished through the use of a satellite or aircraft. This book, in its 3rd edition, seamlessly connects the art and science of earth remote sensing with the latest interpretative tools and techniques of computer-aided image processing. Newly expanded and updated, this edition delivers more of the applied scientific theory and practical results that helped the previous editions earn wide acclaim and become classroom and industry standards. Dr. Schowengerdt presents an advanced unified framework and rationale that uniquely empowers the reader with the latest critical thinking skills and prerequisite knowledge needed to successfully design, develop and incorporate maintainable remote sensing solutions for real-world application. Advanced remote sensing image processing techniques such as hyperspectral image analysis, fusion of multisensor images and digital elevation model extraction from stereo imagery are discussed theoretically in terms of spectral, spatial, and geometric models. An expanded exercise section is also included at the end of each chapter allowing for the greatest level of mastery ever.

*Features a new lively discussion of the NASA EOS satellites, Terra and Aqua, and the commercial satellites IKONOS and Quickbird.

*New larger format provides additional access to 32 PAGE - FULL COLOR plate insert and improved readability

*Additional data processing algorithms help connect and enhance the collective understanding of engineering design and remotely sensed data

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