Results 141 to 150 of about 505 (177)
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Target Polarimetric Decompositions of PolSAR Image
2021Target polarimetric decomposition is one of the most important aspects of polarimetric microwave imaging. The objective of polarimetric decomposition is to express the polarimetric information of the target as a combination of many known objects, such as a plate, a dihedral, a helix, a line, and a sphere, so we can understand and analyze the scattering
Ruliang Yang +5 more
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Multitemporal multidimensional speckle filtering of PolSAR images
2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2016The combination of the polarimetric information with time observations represents an extremely valuable tool for the different applications of polarimetric SAR images. One of the most important preprocessing steps in this context is speckle filtering.
Maryam Salehi +2 more
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Exploring Convolutional Lstm for Polsar Image Classification
IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018Polarimetric synthetic aperture radar (PolSAR) image classification is one of the most important applications in Pol-SAR image processing. More and more deep learning methods are applied to PolSAR image classification. As we know, the polarimetric response of a target is related to the orientation of the target, but the features in rotation domain are ...
Lei Wang 0068 +5 more
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POLSAR image factorization and its extended applications
2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2017POLSAR image factorization is proposed as an extension of polarimetric SAR incoherent target decomposition. It simultaneously estimates a dictionary of meaningful atom scatterers and their corresponding spatial distribution maps from POLSAR image.
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An evaluation of PolSAR speckle filters on Compact-Pol images
2012 IEEE International Geoscience and Remote Sensing Symposium, 2012The goal of this study is to evaluate some polarimetric speckle filters when applied to Compact Polarimetry (CP) data. Seven filters are evaluated on a set of artificial CP images. Performances regarding image restoration and polarimetric information preservation are evaluated.
Samuel Foucher +4 more
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Effect of apodization on PoLSAR image decomposition
2013 IEEE Applied Electromagnetics Conference (AEMC), 2013In this paper we study the effect of nonlinear apodization techniques on polarimetric syntehtic aperture radar (PolSAR) image decomposition. We show that sidelobe suppression in PolSAR images helps in better information extraction through target decomposition techniques, and hence results in better target identification.
Rajib Kumar Panigrahi, Amit Kumar Mishra
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ICA based PolSAR image denoising
2016 12th IEEE International Symposium on Electronics and Telecommunications (ISETC), 2016A speckle denoising in polarimetric SAR images is proposed considering as filtering method the sparse code shrinkage algorithm based on ICA. Even thou the ICA method was widely used in audio signal processing, in combination with shrinkage function give good results for multiplicative noise reduction. The Extended Generalized Lambda Distribution (EGLD)
Raul Malutan +4 more
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Classification-oriented hyperspectral and PolSAR images synergic processing
2013 IEEE International Geoscience and Remote Sensing Symposium - IGARSS, 2013Classification is one of the most important applications in the field of remote sensing. How to improve the accuracy of classification is the critical topic that has long obsessed the researchers. In this paper, a fusion method based on a synergic use of hyperspectral data and Polarimetric SAR (PolSAR) data is presented.
Tong Li 0010 +3 more
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A new method for classification of POLSAR images
2016 6th International Conference on Computer and Knowledge Engineering (ICCKE), 2016The present paper proposes an unsupervised feature learning method for POLSAR image classification. The proposed method includes two steps. In these two steps, features are created and learned from scratch. The first is to learn dictionaries and encode features using scatter matrices.
Nastaran Aghaei, Gholamreza Akbarizadeh
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On MMSE Speckle Filtering of Polsar Images
IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium, 2022Mohamed Yahia +3 more
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