Results 21 to 30 of about 3,144 (202)

A Review on PolSAR Decompositions for Feature Extraction. [PDF]

J Imaging
Feature extraction plays a pivotal role in processing remote sensing datasets, especially in the realm of fully polarimetric data. This review investigates a variety of polarimetric decomposition techniques aimed at extracting comprehensive information from polarimetric imagery.
Karachristos K, Koukiou G, Anastassopoulos V.   +2 more
europepmc   +5 more sources

PolSAR Ship Detection Based on Neighborhood Polarimetric Covariance Matrix [PDF]

, 2021
The detection of small ships in polarimetric synthetic aperture radar (PolSAR) images is still a topic for further investigation. Recently, patch detection techniques, such as superpixel-level detection, have stimulated wide interest because they can use
Yang, Jian, Gao, Gui, Marino, Armando, Liu, Tao, Yang, Ziyuan   +4 more
core   +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

Ice Volume Characterization using Long-Wavelength Airborne PolSAR Data [PDF]

, 2012
The interest in studying land ice for glaciological and climate change research has increased in recent years. The need of information on a global scale makes synthetic aperture radar (SAR) suitable for these studies.
Konstantinos P. Papathanassiou, Jagdhuber, Thomas, Papathanassiou, Konstantinos P., Hajnsek, Irena, Parrella, Giuseppe, Al-Kahachi, Noora, Papathanassiou, Kostantinos, Thomas Jagdhuber, Noora Al-Kahachi, Irena Hajnsek, Giuseppe Parrella   +10 more
core   +1 more source