Results 41 to 50 of about 2,397 (207)
Optical images-based edge detection in Synthetic Aperture Radar images [PDF]
, 2015 We address the issue of adapting optical images-based edge detection techniques for use in Polarimetric Synthetic Aperture Radar (PolSAR) imagery. We modify the gravitational edge detection technique (inspired by the Law of Universal Gravity) proposed by
Barrenechea, Edurne +5 more
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Object-Based Classification of PolSAR Images Based on Spatial and Semantic Features
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020 High-resolution polarimatric synthetic aperture radar (PolSAR) images can provide more detail information on land-cover types and increase the image complexity at the same time.
Bin Zou, Xiaofang Xu, Lamei Zhang
doaj +1 more source
Deep learning in remote sensing: a review [PDF]
, 2017 Standing at the paradigm shift towards data-intensive science, machine learning techniques are becoming increasingly important. In particular, as a major breakthrough in the field, deep learning has proven as an extremely powerful tool in many fields ...
Fraundorfer, Friedrich +6 more
core +4 more sources
On the use of the l(2)-norm for texture analysis of polarimetric SAR data [PDF]
, 2016 In this paper, the use of the l2-norm, or Span, of the scattering vectors is suggested for texture analysis of polarimetric synthetic aperture radar (SAR) data, with the benefits that we need neither an analysis of the polarimetric channels separately ...
Deng, xinping, López Martínez, Carlos
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PolSAR Image Feature Extraction via Co-Regularized Graph Embedding
Remote Sensing, 2020 Dimensionality reduction (DR) methods based on graph embedding are widely used for feature extraction. For these methods, the weighted graph plays a vital role in the process of DR because it can characterize the data’s structure information.
Xiayuan Huang, Xiangli Nie, Hong Qiao
doaj +1 more source
Image fusion techniqes for remote sensing applications [PDF]
, 2002 Image fusion refers to the acquisition, processing and synergistic combination of information provided by various sensors or by the same sensor in many measuring contexts.
Bruzzone, Lorenzo +4 more
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Classification for Polsar image based on hölder divergences [PDF]
The Journal of Engineering, 2019 (Dis)similarity measures play an important role in the interpretation of polarimetric synthetic aperture radar (PolSAR) images. Here, the authors introduce a kind of similarity measures for PolSAR images based on the concepts of Hölder pseudo‐divergence and Hölder divergence.
Ting Pan +4 more
openaire +2 more sources
An Unsupervised PolSAR Image Classification Algorithm Based on Tensor Product Graph Diffusion
Leida xuebao, 2019 To overcome the difficulty of similarity expression and the effects of speckle noise in unsupervised classification of Polarimetric Synthetic Aperture Radar (PolSAR) images, a novel unsupervised PolSAR image terrain classification algorithm based on ...
ZOU Huanxin +5 more
doaj +1 more source
, 2013 A new classifier for Polarimetric SAR (PolSAR) images is proposed and assessed in this paper. Its input consists of segments, and each one is assigned the class which minimizes a stochastic distance. Assuming the complex Wishart model, several stochastic
da Silva, Wagner Barreto +3 more
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Unsupervised classification of multilook polarimetric SAR data using spatially variant wishart mixture model with double constraints [PDF]
, 2018 This paper addresses the unsupervised classification problems for multilook Polarimetric synthetic aperture radar (PolSAR) images by proposing a patch-level spatially variant Wishart mixture model (SVWMM) with double constraints.
Fu, Kun +4 more
core +2 more sources