๐”– Scriptorium
โœฆ   LIBER   โœฆ

๐Ÿ“

Compressive sensing of earth observations

โœ Scribed by Chen, Chi-hau


Publisher
Taylor & Francis; CRC Press
Year
2017
Tongue
English
Leaves
379
Series
Signal and Image Processing of Earth Observations
Edition
1
Category
Library

โฌ‡  Acquire This Volume

No coin nor oath required. For personal study only.

โœฆ Synopsis


Future remote sensing systems will make extensive use of Compressive Sensing (CS) as it becomes more integrated into the system design with increased high resolution sensor developments and the rising earth observation data generated each year. Written by leading experts in the field Compressive Sensing of Earth Observations provides a comprehensive and balanced coverage of the theory and applications of CS in all aspects of earth observations. This work covers a myriad of practical aspects such as the use of CS in detection of human vital signs in a cluttered environment and the corresponding modeling of rib-cage breathing. Readers are also presented with three different applications of CS to the ISAR imaging problem, which includes image reconstruction from compressed data, resolution enhancement, and image reconstruction from incomplete data.

โœฆ Subjects


Earth sciences;Remote sensing;Compressed sensing (Telecommunication);Earth sciences;Remote sensing


๐Ÿ“œ SIMILAR VOLUMES


Understanding Earth Observation: The Ele
โœ Domenico Solimini (auth.) ๐Ÿ“‚ Library ๐Ÿ“… 2016 ๐Ÿ› Springer International Publishing ๐ŸŒ English

<p>This volume addresses the physical foundation of remote sensing. The basic grounds are presented in close association with the kinds of environmental targets to monitor and with the observing techniques. The book aims at plugging the quite large gap between the thorough and quantitative descripti

Environmental Sensing: Analytical Techni
โœ James K. Lein (auth.) ๐Ÿ“‚ Library ๐Ÿ“… 2012 ๐Ÿ› Springer-Verlag New York ๐ŸŒ English

<p><p>Remote sensing has witnessed a renaissance as new sensor systems, data collection capabilities and image processing methodologies have expanded the technological capabilities of this science into new and important applications areas. Perhaps nowhere has this trend been more evident than in the

Hyperspectral Remote Sensing: Theory and
โœ Prem Chandra Pandey (editor), Prashant K. Srivastava (editor), Heiko Balzter (ed ๐Ÿ“‚ Library ๐Ÿ“… 2020 ๐Ÿ› Elsevier ๐ŸŒ English

<p><span>Hyperspectral Remote Sensing: Theory and Applications</span><span> offers the latest information on the techniques, advances and wide-ranging applications of hyperspectral remote sensing, such as forestry, agriculture, water resources, soil and geology, among others. The book also presents

Earth Observation of Global Change: The
โœ Emilio Chuvieco ๐Ÿ“‚ Library ๐Ÿ“… 2008 ๐Ÿ› Springer ๐ŸŒ English

Global Change is increasingly considered a critical topic in environmental research. Remote sensing methods provide a relevant tool to monitor global variables, since they offer a systematic coverage of the Earth Surface, at different spatial, spectral and temporal resolutions. The data provided by

Signal and Image Processing for Remote S
โœ C.H. Chen (editor) ๐Ÿ“‚ Library ๐Ÿ“… 2024 ๐Ÿ› CRC Press ๐ŸŒ English

<p><span>Advances in signal and image processing for remote sensing have been tremendous in recent years. The progress has been particularly significant with the use of deep learning based techniques to solve remote sensing problems. These advancements are the focus of this third edition of </span><