Land cover analysis of PolSAR images using probabilistic voting ensemble and integrated support vector machine
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Title
Land cover analysis of PolSAR images using probabilistic voting ensemble and integrated support vector machine
Authors
Keywords
-
Journal
Journal of Applied Remote Sensing
Volume 17, Issue 04, Pages -
Publisher
SPIE-Intl Soc Optical Eng
Online
2023-10-20
DOI
10.1117/1.jrs.17.044505
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- Land cover classification of PolSAR image using tensor representation and learning
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- Semisupervised Classification of PolSAR Image Incorporating Labels’ Semantic Priors
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- Polarimetric SAR Image Classification Using Deep Convolutional Neural Networks
- (2016) Yu Zhou et al. IEEE Geoscience and Remote Sensing Letters
- Land Cover Classification from Polarimetric SAR Data Based on Image Segmentation and Decision Trees
- (2015) Yonghong Zhang et al. CANADIAN JOURNAL OF REMOTE SENSING
- Land Cover Classification from Polarimetric SAR Data Based on Image Segmentation and Decision Trees
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- Classification of polarimetric SAR images using Support Vector Machines
- (2011) R. Shah Hosseini et al. CANADIAN JOURNAL OF REMOTE SENSING
- A novel algorithm for land use and land cover classification using RADARSAT-2 polarimetric SAR data
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- Classification of Polarimetric SAR Image Based on Support Vector Machine Using Multiple-Component Scattering Model and Texture Features
- (2009) Lamei Zhang et al. EURASIP Journal on Advances in Signal Processing
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