Edge Detection for PolSAR Images Integrating Scattering Characteristics and Optimal Contrast
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2019.2919422
Abstract: Subject to the statistical distribution assumption and the fixed window shape, the classical edge detectors for polarimetric synthetic aperture radar (PolSAR) images generally generate inaccurate results in heterogeneous scenes. In this letter, a PolSAR image… read more here.
Keywords: integrating scattering; characteristics optimal; polsar; edge ... See more keywords
MP-ResNet: Multipath Residual Network for the Semantic Segmentation of High-Resolution PolSAR Images
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2021.3079925
Abstract: There are limited studies on the semantic segmentation of high-resolution polarimetric synthetic aperture radar (PolSAR) images due to the scarcity of training data and the complexity of managing speckle noise. The Gaofen contest has provided… read more here.
Keywords: segmentation high; semantic segmentation; segmentation; polsar images ... See more keywords
Ship Detection Using PolSAR Images Based on Simulated Annealing by Fuzzy Matching
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2021.3098026
Abstract: Ship detection using polarimetric synthetic aperture radar (PolSAR) images is a major area of interest within the field of target detection. It is because the polarimetric information in PolSAR images is beneficial to extract features… read more here.
Keywords: polsar images; detection using; detection; based simulated ... See more keywords
FDFNet: A Fusion Network for Generating High-Resolution Fully PolSAR Images
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2021.3127958
Abstract: Deep learning shows potential superiority in the image fusion field. To solve the problem of the spatial resolution degradation of polarimetric synthetic aperture radar (PolSAR) images caused by system limitation, we propose a fully PolSAR… read more here.
Keywords: fusion network; resolution; polsar images; fully polsar ... See more keywords
TS-SHES: Terrain Segmentation in Complex-Valued PolSAR Images Via Scattering Harmonization and Explicit Supervision
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2022.3204705
Abstract: Convolutional neural network (CNN) has attracted extensive attention in the research field of polarimetric synthetic aperture radar (PolSAR) terrain segmentation. However, directly using CNN in PolSAR terrain segmentation while ignoring the characteristics of PolSAR images… read more here.
Keywords: valued polsar; polsar images; scattering harmonization; complex valued ... See more keywords
Segmentation of multi-temporal polarimetric SAR data based on mean-shift and spectral graph partitioning
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DOI: 10.7717/peerj.12805
Abstract: Abstract Polarimetric SAR (PolSAR) image segmentation is a key step in its interpretation. For the targets with time series changes, the single-temporal PolSAR image segmentation algorithm is difficult to provide correct segmentation results for its… read more here.
Keywords: segmentation; polsar; multi temporal; temporal polsar ... See more keywords