Results 1 to 10 of about 46,278 (262)
Inverse Synthetic Aperture Radar [PDF]
n ...
Chen Victor +6 more
doaj +7 more sources
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 (
Alberto Moreira +2 more
exaly +3 more sources
Compressed Synthetic Aperture Radar [PDF]
In this paper, we introduce a new synthetic aperture radar (SAR) imaging modality which can provide a high-resolution map of the spatial distribution of targets and terrain using a significantly reduced number of needed transmitted and/or received electromagnetic waveforms.
Vishal M Patel +2 more
exaly +2 more sources
A Novel Attention Fully Convolutional Network Method for Synthetic Aperture Radar Image Segmentation
As an important step of synthetic aperture radar image interpretation, synthetic aperture radar image segmentation aims at segmenting an image into different regions in terms of homogeneity.
Zhenyu Yue +5 more
doaj +3 more sources
Mission-critical applications that rely on deep learning (DL) for automation suffer because DL models struggle to provide reliable indicators of failure.
Jarrod Haas, Bernhard Rabus
doaj +1 more source
Measurement(s) C-band radar backscatter • extent of permanent water bodies Technology Type(s) Synthetic Aperture Radar (SAR) • Synthetic Aperture Radar (SAR) normalised mosaic Factor Type(s) radar backscatter Sample Characteristic - Environment land ...
Bernhard Bauer-Marschallinger +11 more
doaj +1 more source
InSAR as a tool for monitoring hydropower projects: A review
This paper provides a review of using Interferometric Synthetic Aperture Radar (InSAR), a microwave remote sensing technique, for deformation monitoring of hydroelectric power projects, a critical infrastructure that requires consistent and reliable ...
J. Aswathi +4 more
doaj +1 more source
Synthetic aperture radar (SAR) raw data do not have a direct application; therefore, SAR raw signal processing algorithms are used to generate images that are used for various required applications.
Jhohan Jancco-Chara +4 more
doaj +1 more source
Change detection from synthetic aperture radar images becomes a key technique to detect change area related to some phenomenon as flood and deformation of the earth surface.
I. Hamdi +3 more
doaj +1 more source
A New Classification Approach with Deep Mask R-CNN for Synthetic Aperture Radar Image Segmentation
In this paper, a hybrid classification approach which is combined with a more deep mask region-convolutional neural network and sparsity driven despeckling algorithm is proposed for synthetic aperture radar (SAR) image segmentation instead of the ...
Ridvan Yayla, Baha Sen
doaj +1 more source

