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Texture descriptors for robust SAR image segmentation
(Society of Photo-Optical Instrumentation Engineers, 2021-12-29)
SAR (synthetic aperture radar) and PolSAR (polarimetric synthetic aperture radar) images fulfill a fundamental role in Earth observation, due to their advantages over optical images. However, the presence of speckle noise ...
Vacunas contra el SARS-CoV-2
(2021)
Estudo da modelagem estatística em imagens SAR
(Universidade Federal de Santa MariaBrasilUFSMCentro de Tecnologia, 2023-07-10)
SAR images have become important tools with applications in areas such as environmental monitoring and national security. Statistical modeling is an important step in SAR image processing and analysis, and its results are ...
Multithresholding techniques in SAR image classification
(Elsevier Science, 2021-08)
Beyond bilevel segmentation, multithresholding (MT) is a powerful technique that is seldom considered in image analysis. In active imaging techniques, however, MT appears as a significant alternative due to its obliviousness ...
Wavelets and decision trees for target detection over sea surface using cosmo-skymed SAR data
(2011-10-19)
We are investigating the combination of wavelets and decision trees to detect ships and other maritime surveillance targets from medium resolution SAR images. Wavelets have inherent advantages to extract image descriptors ...
Wavelets and decision trees for target detection over sea surface using cosmo-skymed SAR data
(2011-10-19)
We are investigating the combination of wavelets and decision trees to detect ships and other maritime surveillance targets from medium resolution SAR images. Wavelets have inherent advantages to extract image descriptors ...
Filtration and Enhancement of Environmental Characteristics Extracted from SAR Imagery Using Dynamic Kalman Technique
(Institute of Electrical and Electronics Engineers, 2016)
Evaluation of sar to optical image translation using conditional generative adversarial network for cloud removal in a crop dataset
(2021-06-28)
Most methods developed to map crop fields with high-quality are based on optical image time-series. However, often accuracy of these approaches is deteriorated due to clouds and cloud shadows, which can decrease the availably ...