Ship Detection in Synthetic Aperture Radar Images under Complex Geographical Environments, Based on Deep Learning and Morphological Networks. [PDF]
Cao S, Zhao C, Dong J, Fu X.
europepmc +1 more source
Revealing the Ground Deformation and Its Mechanism in the Heihe River Basin by Interferometric Synthetic Aperture Radar and Optical Images. [PDF]
Cui Q, Wang Y, Wang P, Tan K, Feng G.
europepmc +1 more source
Accuracy Assessment of Geometric-Distortion Identification Methods for Sentinel-1 Synthetic Aperture Radar Imagery in Highland Mountainous Regions. [PDF]
Shi C +5 more
europepmc +1 more source
CCDN-DETR: A Detection Transformer Based on Constrained Contrast Denoising for Multi-Class Synthetic Aperture Radar Object Detection. [PDF]
Zhang L +6 more
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PP-ISEA: An Efficient Algorithm for High-Resolution Three-Dimensional Geometry Reconstruction of Space Targets Using Limited Inverse Synthetic Aperture Radar Images. [PDF]
Wang R, Zhu W, Li C, Zhu B, Pang H.
europepmc +1 more source
A tutorial on synthetic aperture radar [PDF]
Synthetic Aperture Radar (SAR) has been widely used for Earth remote sensing for more than 30 years. It provides high-resolution, day-and-night and weather-independent images for a multitude of applications ranging from geoscience and climate change research, environmental and Earth system monitoring, 2-D and 3-D mapping, change detection, 4-D mapping (
Irena Hajnsek +2 more
exaly +3 more sources

