PolSAR image classification via a novel semi-supervised recurrent complex-valued convolution neural network
Sign Up to like & getrecommendations! Published in 2020 at "Neurocomputing"
DOI: 10.1016/j.neucom.2020.01.020
Abstract: Abstract Due to that polarimetric synthetic aperture radar (PolSAR) data suffers from missing labeled samples and complex-valued data, this article presents a novel semi-supervised PolSAR terrain classification method named recurrent complex-valued convolution neural network (RCV-CNN)… read more here.
Keywords: classification; network; semi supervised; valued convolution ... See more keywords
Multiple classifier systems for classification of multifrequency PolSAR images with limited training samples
Sign Up to like & getrecommendations! Published in 2018 at "International Journal of Remote Sensing"
DOI: 10.1080/01431161.2018.1471543
Abstract: ABSTRACT The aim of this article is to improve land-cover classification accuracy from multifrequency full-polarimetric synthetic aperture radar (PolSAR) observations using multiple classifier systems (MCSs) when limited training samples are available. Two types of popular… read more here.
Keywords: based mcss; classification; polsar; training samples ... See more keywords
A family of divergence-based classifiers for Polarimetric Synthetic Aperture Radar (PolSAR) imagery vector and matrix features
Sign Up to like & getrecommendations! Published in 2020 at "International Journal of Remote Sensing"
DOI: 10.1080/01431161.2020.1826060
Abstract: ABSTRACT Polarimetric Synthetic Aperture Radar (PolSAR) is one of the most important remote sensing tools. However, PolSAR images are strongly contaminated by a multidimensional interference (called speckle noise), making their processing (e.g. in the classification… read more here.
Keywords: polsar; vector; aperture radar; synthetic aperture ... See more keywords
High-Resolution PolSAR Image Interpretation Based on Human Image Cognition Mechanism
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2018.2873417
Abstract: Since the all-day and all-weather working characteristics, polarimetric synthetic aperture radar (PolSAR) has been widely used in many application for earth observation. PolSAR system can acquire targets scattering information under different polarization patterns and obtain… read more here.
Keywords: high resolution; image; resolution polsar; polsar ... See more keywords
Eigenvalue Statistical Components-Based PU-Learning for PolSAR Built-Up Areas Extraction and Cross-Domain Analysis
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2020.3000743
Abstract: Polarimetric synthetic aperture radar (PolSAR) provides important support for the built-up areas (BA) information analysis, due to the ability of weather-independent imaging and sensitivity to targets scattering and geometric characteristics. However, PolSAR BA with large… read more here.
Keywords: cross domain; extraction; polsar; domain ... See more keywords
Comparison of PolSAR Surface Measurements From Underground Chemical Explosions to Recorded and Predicted Surface Ground Motion
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2020.3031684
Abstract: The Source Physics Experiment (SPE) Phase I conducted six underground chemical explosions at the same experimental pad with the goal of characterizing underground explosions to enhance the United States (U.S.) ability to detect and discriminate… read more here.
Keywords: chemical explosions; surface; underground chemical; polsar surface ... See more keywords
Unsupervised Classification of PolSAR Data Using a Scattering Similarity Measure Derived From a Geodesic Distance
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2017.2778749
Abstract: In this letter, we propose a novel technique for obtaining scattering components from polarimetric synthetic aperture radar (PolSAR) data using the geodesic distance on the unit sphere. This geodesic distance is obtained between an elementary… read more here.
Keywords: methodology; geodesic distance; similarity measure; similarity ... See more keywords
Optimized Wishart Network for an Efficient Classification of Multifrequency PolSAR Data
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2018.2861081
Abstract: High-resolution wide-area images are required in the diverse field of research ranging from urban planning and disaster prediction to agriculture and geology. Sometimes the image is taken under harsh weather conditions or at night time.… read more here.
Keywords: optimized wishart; network; polsar; wishart network ... See more keywords
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
PolSAR Image Classification Based on Object-Based Markov Random Field With Polarimetric Auxiliary Label Field
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2019.2951761
Abstract: Recently, an object-based Markov random field (OMRF) with auxiliary fields (OMRF-A) was developed for the processing of optical remote sensing images and it provided satisfactory results. However, it cannot be directly applied to polarimetric synthetic… read more here.
Keywords: field; auxiliary label; polsar; object based ... See more keywords
Polarimetric Semivariogram-Based Spatial Scale Selection for PolSAR Image Segmentation With Mean-Shift Algorithm
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2020.2994209
Abstract: Image segmentation has been an important procedure in object-based image analysis (OBIA), which takes image object as a processing unit. The spatial scale in image segmentation has great importance in OBIA. Due to the high… read more here.
Keywords: image segmentation; spatial scale; image; polsar ... See more keywords