Results 21 to 30 of about 840 (174)

GPU-Based Soil Parameter Parallel Inversion for PolSAR Data

Remote Sensing, 2020
With the development of polarimetric synthetic aperture radar (PolSAR), quantitative parameter inversion has been seen great progress, especially in the field of soil parameter inversion, which has achieved good results for applications.
Qiang Yin, You Wu, Fan Zhang, Yongsheng Zhou   +3 more
doaj   +1 more source

A type of polarimetric parameter for evaluating the reliability of model-based decomposition result and its application

International Journal of Digital Earth, 2023
The reliability of the model-based decomposition result, which is seldom investigated, is a key factor in determining whether decomposition parameters can be effectively applied to polarimetric synthetic aperture radar (PolSAR) applications.
Wentao Han, Haiqiang Fu, Jianjun Zhu, Qinghua Xie   +3 more
doaj   +1 more source

Research on an Urban Building Area Extraction Method with High-Resolution PolSAR Imaging Based on Adaptive Neighborhood Selection Neighborhoods for Preserving Embedding

ISPRS International Journal of Geo-Information, 2020
Feature extraction of an urban area is one of the most important directions of polarimetric synthetic aperture radar (PolSAR) applications. A high-resolution PolSAR image has the characteristics of high dimensions and nonlinearity.
Bo Cheng, Shiai Cui, Xiaoxiao Ma, Chenbin Liang   +3 more
doaj   +1 more source

Despeckling PolSAR Images with a Structure Tensor Filter [PDF]

IEEE Geoscience and Remote Sensing Letters, 2020
© 2004-2012 IEEE. In this letter, we propose a new despeckling filter for fully polarimetric synthetic aperture radar (PolSAR) images defined by 3× 3 complex Wishart distributions. We first generalize the well-known structure tensor to deal with PolSAR data which allows to efficiently measure the dominant direction and contrast of edges.
Daniel Santana-Cedrés, Luís Gómez Déniz, Luis Álvarez 0001, Alejandro C. Frery   +3 more
openaire   +4 more sources

Weakly Supervised Classification of PolSAR Images Based on Sample Refinement with Complex-Valued Convolutional Neural Network

Leida xuebao, 2020
In this study, a weakly supervised classification method is proposed to classify the Polarimetric Synthetic Aperture Radar (PolSAR) images based on sample refinement using a Complex-Valued Convolutional Neural Network (CV-CNN) to solve the problem that ...
QIN Xianxiang, YU Wangsheng, WANG Peng, CHEN Tianping, ZOU Huanxin   +4 more
doaj   +1 more source

Spatially adaptive polarimetric image despeckling using bandelet transform

European Journal of Remote Sensing, 2020
Polarimetric Synthetic Aperture Radar (PolSAR) imaging extended SAR applications by exploring the polarimetric properties of the target scatterers. Similar to SAR images, PolSAR images are prone to multiplicative speckle noise due to its coherent imaging
Roy Thankachan, R. Sethunadh., P. M. Ameer   +2 more
doaj   +1 more source

Comparison of PolSAR Speckle Filtering Techniques [PDF]

2006 IEEE International Symposium on Geoscience and Remote Sensing, 2006
The objective of this paper is to compare the most widely used and the most recent speckle polarimetric synthetic aperture radar (PolSAR) filters. Two new conceptual approaches in PolSAR filtering are evaluated on simulated PolSAR images. The criteria of comparison includes indicator of speckle reduction capability, edge sharpness and preservation of ...
Gregory Farage, Samuel Foucher, Goze B. Bénié   +2 more
openaire   +1 more source

Polarimetric Synthetic Aperture Radar Ship Potential Area Extraction Based on Neighborhood Semantic Differences of the Latent Dirichlet Allocation Bag-of-Words Topic Model

Remote Sensing, 2023
Recently, deep learning methods have been widely studied in the field of polarimetric synthetic aperture radar (PolSAR) ship detection. However, extracting polarimetric and spatial features on the whole PolSAR image will result in high computational ...
Weixing Qiu, Zongxu Pan
doaj   +1 more source

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, Jorge Sánchez 0002, Ana Georgina Flesia   +2 more
openaire   +3 more sources

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, Renato J. Cintra, Abraao D. C. Nascimento   +2 more
openaire   +4 more sources