Results 41 to 50 of about 3,144 (202)

DESPECKLING POLSAR IMAGES BASED ON RELATIVE TOTAL VARIATION MODEL [PDF]

, 2018
Relatively total variation (RTV) algorithm, which can effectively decompose structure information and texture in image, is employed in extracting main structures of the image.
D. Y. Wang, Y. Yuan, L. J. Yang, C. Jiang, X. F. He, J. Jiang   +5 more
core   +1 more source

Superpixel-Oriented Unsupervised Classification for Polarimetric SAR Images Based on Consensus Similarity Network Fusion

IEEE Access, 2019
Unsupervised polarimetric synthetic aperture radar (PolSAR) image classification is an important task in PolSAR automatic image analysis and interpretation.
Huanxin Zou, Meilin Li, Ningyuan Shao, Xianxiang Qin   +3 more
doaj   +1 more source

Region-based classification of PolSAR data using radial basis kernel functions with stochastic distances

International Journal of Digital Earth, 2019
Region-based classification of PolSAR data can be effectively performed by seeking for the assignment that minimizes a distance between prototypes and segments. Silva et al.
Rogério G. Negri, Alejandro C. Frery, Wagner B. Silva, Tatiana S. G. Mendes, Luciano V. Dutra   +4 more
doaj   +1 more source

Classification of Polarimetric SAR Images Based on the Riemannian Manifold

Leida xuebao, 2017
Classification is one of the core components in the interpretation of Polarimetric Synthetic Aperture Radar (PolSAR) images. A new PolSAR image classification approach employs the structural properties of the Riemannian manifold formed by PolSAR ...
Yang Wen, Zhong Neng, Yan Tianheng, Yang Xiangli   +3 more
doaj   +1 more source

Adaptive Fuzzy Learning Superpixel Representation for PolSAR Image Classification [PDF]

, 2021
The increasing applications of polarimetric synthetic aperture radar (PolSAR) image classification demand for effective superpixels’ algorithms. Fuzzy superpixels’ algorithms reduce the misclassification rate by dividing pixels into superpixels, which ...
Wang, Shuo, Jiao, Licheng, Sun, Zhuangzhuang, Qu, Rong, Wang, Shuang, Guo, Yuwei, Liu, Fang, Rong Qu, Yuwei Guo, Shuo Wang, Fang Liu, Zhuangzhuang Sun, Shuang Wang, Licheng Jiao   +13 more
core   +1 more source

Sensitivity of Polarimetric SAR Decompositions to Soil Moisture and Vegetation Over Three Agricultural Sites Across a Latitudinal Gradient

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
The goal of this work is to assess the impact of polarimetric SAR decompositions for soil moisture retrieval, and identify the decomposition that performs best for varying vegetation covers and soil conditions.
Giovanni Anconitano, Marco Lavalle, Mario Alberto Acuna, Nazzareno Pierdicca   +3 more
doaj   +1 more source

Polarimetric Synthetic Aperture Radar Speckle Filter Based on Joint Similarity Measurement Criterion

Remote Sensing, 2023
Polarimetric Synthetic Aperture Radar (PolSAR) data is inherently characterized by speckle noise, which significantly deteriorates certain aspects of the quality of the PolSAR data processing, including the polarimetric decomposition and target ...
Fanyi Tang, Zhenfang Li, Qingjun Zhang, Zhiyong Suo, Zexi Zhang, Chao Xing, Huancheng Guo   +6 more
doaj   +1 more source

Adaptive Model-Based Classification of PolSAR Data [PDF]

IEEE Transactions on Geoscience and Remote Sensing, 2018
An adaptive classification is developed as a hybrid of the eigenvector-based and the model-based target decompositions for polarimetric synthetic aperture radar (PolSAR) data. The classification adopts the canonical scattering models that widely used in model-based decompositions to provide an improvement for the well-known ${H/\alpha ...
Dong Li 0014, Yunhua Zhang
openaire   +1 more source

POLSAR Image Classification via Clustering-WAE Classification Model

IEEE Access, 2018
Considering the clustering algorithms could explore the label information automatically, this paper proposes a new method in terms of polarimetric synthetic aperture radar (POLSAR) image classification, which named a clustering-wishart-auto-encoder (WAE)
Wen Xie, Ziwei Xie, Feng Zhao, Bo Ren
doaj   +1 more source

HIERARCHICAL CLASSIFICATION OF POLARIMETRIC SAR IMAGE BASED ON STATISTICAL REGION MERGING [PDF]

ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2012
Segmentation and classification of polarimetric SAR (PolSAR) imagery are very important for interpretation of PolSAR data. This paper presents a new object-oriented classification method which is based on Statistical Region Merging (SRM) segmentation ...
F. Lang, J. Yang, L. Zhao, D. Li
doaj   +1 more source