Results 11 to 20 of about 5,464 (214)

PolSAR Models with Multimodal Intensities

Remote Sensing, 2022
Polarimetric synthetic aperture radar (PolSAR) systems are an important remote sensing tool. Such systems can provide high spacial resolution images, but they are contaminated by an interference pattern called multidimensional speckle. This fact requires that PolSAR images receive specialised treatment; particularly, tailored models which are close to ...
Jodavid A. Ferreira, Abraão D. C. Nascimento, Alejandro C. Frery   +2 more
openaire   +3 more sources

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-Cedres, Luis Gomez, Luis Alvarez, Alejandro C. Frery   +3 more
openaire   +3 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

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

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

Speeding up Non-Gaussian POLSAR image analysis [PDF]

2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2017
Non-Gaussian statistical models fit SAR data better than Gaussian-based statistics, in most cases, but are complicated and time-consuming to use for unsupervised image segmentation via probabilistic clustering. The more advanced the model, the more complicated and slow the clustering.
Doulgeris, Anthony Paul, Hu, Dingsheng
openaire   +2 more sources

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.
Farage, Grégory, Foucher, Samuel, López Martínez, Carlos, Bénié, Goze B.   +3 more
openaire   +2 more sources

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

PolSAR-Decomposition-Based Extended Water Cloud Modeling for Forest Aboveground Biomass Estimation

Remote Sensing, 2019
Polarimetric synthetic aperture radar (PolSAR) remote sensing has been widely used for forest mapping and monitoring. PolSAR data has the capability to provide scattering information that is contributed by different scatterers within a single SAR ...
Shashi Kumar, Rahul D. Garg, Himanshu Govil, Satya P. S. Kushwaha   +3 more
doaj   +1 more source