Small-Satellite Synthetic Aperture Radar for Continuous Global Biospheric Monitoring: A Review
Remote Sensing, 2020 Space-based radar sensors have transformed Earth observation since their first use by Seasat in 1978. Radar instruments are less affected by daylight or weather conditions than optical counterparts, suitable for continually monitoring the global ...
S. W. Paek +3 more
semanticscholar +1 more source
Bayesian off-line detection of multiple change-points corrupted by multiplicative noise : application to SAR image edge detection [PDF]
, 2003 This paper addresses the problem of Bayesian off-line change-point detection in synthetic aperture radar images. The minimum mean square error and maximum a posteriori estimators of the changepoint positions are studied.
Andre-Obrecht +39 more
core +2 more sources
Multiple feature-enhanced synthetic aperture radar imaging [PDF]
, 2009 Non-quadratic regularization based image formation is a recently proposed framework for feature-enhanced radar imaging. Specific image formation techniques in this framework have so far focused on enhancing one type of feature, such as strong point ...
Cetin, Mujdat +3 more
core +1 more source
Deep Learning for Predicting Significant Wave Height From Synthetic Aperture Radar
IEEE Transactions on Geoscience and Remote Sensing, 2020 The Sentinel-1 satellites equipped with synthetic aperture radars (SARs) provide near-global coverage of the world’s oceans every six days. We curate a data set of collocations between SAR and altimeter satellites and investigate the use of deep learning
Brandon Quach +4 more
semanticscholar +1 more source
Four-dimensional SAR Imaging Algorithm Based on Iterative Reconstruction of Magnitude and Phase
Leida xuebao, 2016 Observation data obtained from the Four-Dimensional (4D) Synthetic Aperture Radar (SAR) system is sparse and non-uniform in the baseline-time plane. Hence, the imaging results acquired by traditional Fourier-based methods are limited by high side lobes ...
Ren Xiaozhen, Yang Ruliang
doaj +1 more source
Synthetic Aperture Radar for Geosciences
Reviews of GeophysicsSynthetic Aperture Radar (SAR) has emerged as a pivotal technology in geosciences, offering unparalleled insights into Earth's surface. Indeed, its ability to provide high‐resolution, all‐weather, and day‐night imaging has revolutionized our ...
Lingsheng Meng +11 more
semanticscholar +1 more source
Monitoring Rock Glacier Kinematics with Satellite Synthetic Aperture Radar
Remote Sensing, 2020 Active rock glaciers represent the best visual expression of mountain permafrost that can be mapped and monitored directly using remotely sensed data.
T. Strozzi +8 more
semanticscholar +1 more source
Sparse representation-based synthetic aperture radar imaging [PDF]
, 2011 There is increasing interest in using synthetic aperture radar (SAR) images in automated target recognition and decision-making tasks. The success of such tasks depends on how well the reconstructed SAR images exhibit certain features of the underlying ...
Cetin, Mujdat +3 more
core +1 more source
Inundation Extent Mapping by Synthetic Aperture Radar: A Review
Remote Sensing, 2019 Recent flood events have demonstrated a demand for satellite-based inundation mapping in near real-time (NRT). Simulating and forecasting flood extent is essential for risk mitigation. While numerical models are designed to provide such information, they
Xinyi Shen +4 more
semanticscholar +1 more source
Multipath Smearing Suppression for Synthetic Aperture Radar Images of Harbor Scenes
IEEE Access, 2019 Due to the periodic and non-periodic variations in the sea surface, smearing is caused by the multiple paths between the sea surface and man-made objects in synthetic aperture radar images of harbor areas. This smearing can cover real targets and lead to
Peng Xiao, Xiaolu Tian, Min Liu, Wei Liu
doaj +1 more source