Results 31 to 40 of about 3,144 (202)
An active deep learning approach for minimally supervised polsar image classification [PDF]
, 2019 Recently, deep neural networks have received intense interests in polarimetric synthetic aperture radar (PolSAR) image classification. However, its success is subject to the availability of large amounts of annotated data which require great efforts of ...
Xue, Yong
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Fisher Vectors for PolSAR Image Classification [PDF]
IEEE Geoscience and Remote Sensing Letters, 2017 In this letter, we study the application of the Fisher vector (FV) to the problem of pixelwise supervised classification of polarimetric synthetic aperture radar images. This is a challenging problem since information in those images is encoded as complex-valued covariance matrices. We observe that the real parts of these matrices preserve the positive
Javier A. Redolfi +2 more
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Entropy-Based Statistical Analysis of PolSAR Data [PDF]
IEEE Transactions on Geoscience and Remote Sensing, 2013 Images obtained from coherent illumination processes are contaminated with speckle noise, with polarimetric synthetic aperture radar (PolSAR) imagery as a prominent example. With an adequacy widely attested in the literature, the scaled complex Wishart distribution is an acceptable model for PolSAR data.
Alejandro César Frery +2 more
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IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020 Convolutional neural network (CNN) has achieved remarkable success in polarimetric synthetic aperture radar (PolSAR) image classification. However, the PolSAR image classification is a pixelwise prediction assignment.
Feng Zhao +3 more
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The Generalized Statistical Complexity of PolSAR Data
CoRR, 2014 This paper presents and discusses the use of a new feature for PolSAR imagery: the Generalized Statistical Complexity. This measure is able to capture the disorder of the data by means of the entropy, as well as its departure from a reference distribution.
Alejandro César Frery +2 more
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SUPERPIXEL SEGMENTATION FOR POLSAR IMAGES BASED ON HEXAGON INITIALIZATION AND EDGE REFINEMENT [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2020 Superpixel segmentation for PolSAR images can heavily decrease the number of primitives for subsequent interpretation while reducing the impact of speckle noise.
M. Li +5 more
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Adaptive Speckle Filter for Multi-Temporal PolSAR Image with Multi-Dimensional Information Fusion
Remote Sensing, 2023 Polarimetric synthetic aperture radar (PolSAR) is an important sensor for earth observation. Multi-temporal PolSAR images obtained by successive observations of the region of interest contain rich polarimetric–temporal–spatial information of the land ...
Haoliang Li +4 more
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Robustness of PolSAR CS to Calibration Errors
, 2023 Dropped-channel polarimetric synthetic aperture radar (PolSAR) compressive sensing (CS) reduces data storage/transmission and receiver hardware requirements by utilising antenna crosstalk and CS techniques to recover dropped channel(s).
Morrison, Jacob +2 more
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Turbo Speckle Filtering applied to PolSAR Data [PDF]
IGARSS 2008 - 2008 IEEE International Geoscience and Remote Sensing Symposium, 2008 A new approach for speckle reduction in polarimetric synthetic aperture radar (PolSAR) images based on the turbo iterative principle is proposed. The turbo iterative algorithm shows high performances due to the propagation of the information between two complementary filters.
Gregory Farage +3 more
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Remote Sensing, 2022 Polarimetric synthetic aperture radar (PolSAR) image classification has achieved great progress, but there still exist some obstacles. On the one hand, a large amount of PolSAR data is captured.
Yuanhao Cui +4 more
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