Zhen Xu – författare

Lunar explorations have received increasing attention in recent years with tremendous application values, including using the Moon as a remote sensing platform for Earth observation. As an active sensor, the Synthetic Aperture Radar (SAR) can detect changes in the atmosphere, terrain, and ocean. Moon-based SAR, complementary to the spaceborne SAR systems, expands our capabilities of watching and understanding the Earth. This book explains the Moon-Earth observation geometry, generic parameters, image focusing, and outlook using the Moon-based SAR. Written as a SAR imaging of Earth on the lunar-based platform, it makes it an essential reference to those interested in planetary and Earth sciences.FEATURESUses the Moon as a remote sensing platform for Earth observationExplains how to obtain a high spatial resolution with a short revisit time using the Moon-based SARCovers the observation geometry, range and signal models, two-dimensional signal spectrum, and focusing algorithms for the Moon-based SARPresents a detailed analysis of sources of phase errors in the Moon-based SAR signalIncludes global case studies and introduces conceptual ideas for further researchThis book is intended for senior graduate students, professional researchers, and engineers studying and working in the fields of lunar exploration and remote sensing applications, especially when dealing with high-orbit SAR studies.

Lunar explorations have received increasing attention in recent years with tremendous application values, including using the Moon as a remote sensing platform for Earth observation. As an active sensor, the Synthetic Aperture Radar (SAR) can detect changes in the atmosphere, terrain, and ocean. Moon-based SAR, complementary to the spaceborne SAR systems, expands our capabilities of watching and understanding the Earth. This book explains the Moon-Earth observation geometry, generic parameters, image focusing, and outlook using the Moon-based SAR. Written as a SAR imaging of Earth on the lunar-based platform, it makes it an essential reference to those interested in planetary and Earth sciences.FEATURESUses the Moon as a remote sensing platform for Earth observationExplains how to obtain a high spatial resolution with a short revisit time using the Moon-based SARCovers the observation geometry, range and signal models, two-dimensional signal spectrum, and focusing algorithms for the Moon-based SARPresents a detailed analysis of sources of phase errors in the Moon-based SAR signalIncludes global case studies and introduces conceptual ideas for further researchThis book is intended for senior graduate students, professional researchers, and engineers studying and working in the fields of lunar exploration and remote sensing applications, especially when dealing with high-orbit SAR studies.

Lunar explorations have received increasing attention in recent years with tremendous application values, including using the Moon as a remote sensing platform for Earth observation. As an active sensor, the Synthetic Aperture Radar (SAR) can detect changes in the atmosphere, terrain, and ocean. Moon-based SAR, complementary to the spaceborne SAR systems, expands our capabilities of watching and understanding the Earth. This book explains the Moon-Earth observation geometry, generic parameters, image focusing, and outlook using the Moon-based SAR. Written as a SAR imaging of Earth on the lunar-based platform, it makes it an essential reference to those interested in planetary and Earth sciences.

FEATURES

Uses the Moon as a remote sensing platform for Earth observation Explains how to obtain a high spatial resolution with a short revisit time using the Moon-based SAR Covers the observation geometry, range and signal models, two-dimensional signal spectrum, and focusing algorithms for the Moon-based SAR Presents a detailed analysis of sources of phase errors in the Moon-based SAR signal Includes global case studies and introduces conceptual ideas for further research

This book is intended for senior graduate students, professional researchers, and engineers studying and working in the fields of lunar exploration and remote sensing applications, especially when dealing with high-orbit SAR studies.

Lunar explorations have received increasing attention in recent years with tremendous application values, including using the Moon as a remote sensing platform for Earth observation. As an active sensor, the Synthetic Aperture Radar (SAR) can detect changes in the atmosphere, terrain, and ocean. Moon-based SAR, complementary to the spaceborne SAR systems, expands our capabilities of watching and understanding the Earth. This book explains the Moon-Earth observation geometry, generic parameters, image focusing, and outlook using the Moon-based SAR. Written as a SAR imaging of Earth on the lunar-based platform, it makes it an essential reference to those interested in planetary and Earth sciences.

FEATURES

Uses the Moon as a remote sensing platform for Earth observation Explains how to obtain a high spatial resolution with a short revisit time using the Moon-based SAR Covers the observation geometry, range and signal models, two-dimensional signal spectrum, and focusing algorithms for the Moon-based SAR Presents a detailed analysis of sources of phase errors in the Moon-based SAR signal Includes global case studies and introduces conceptual ideas for further research

This book is intended for senior graduate students, professional researchers, and engineers studying and working in the fields of lunar exploration and remote sensing applications, especially when dealing with high-orbit SAR studies.

This book constitutes the refereed proceedings of the 21th International Conference on Information and Communications Security, ICICS 2019, held in Beijing, China, in December 2019. The 47 revised full papers were carefully selected from 199 submissions. The papers are organized in topics on malware analysis and detection, IoT and CPS security enterprise network security, software security, system security, authentication, applied cryptograph internet security, machine learning security, machine learning privacy, Web security, steganography and steganalysis.