Results 101 to 110 of about 3,590 (264)

Ionospheric Specifications for SAR Interferometry (ISSI) [PDF]

, 2013
The ISSI software package is designed to image the ionosphere from space by calibrating and processing polarimetric synthetic aperture radar (PolSAR) data collected from low Earth orbit satellites. Signals transmitted and received by a PolSAR are subject
Buckley, Sean M., Chapman, Bruce D, Freeman, Anthony, Lavalle, Marco, Pi, Xiaoqing, Rosen, Paul A., Szeliga, Walter   +6 more
core   +1 more source

Graph Convolutional Networks by Architecture Search for PolSAR Image Classification [PDF]

, 2021
Hongying Liu, Derong Xu, Tianwen Zhu, Fanhua Shang, Yuanyuan Liu, Jianhua Lü, Ri Yang   +6 more
openalex   +1 more source

MCDiff: A Multilevel Conditional Diffusion Model for PolSAR Image Classification

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
With the swift advancement of deep learning, significant strides have been made in polarimetric synthetic aperture radar (PolSAR) image classification, particularly with the advent of diffusion models that allow for explicit class probability modeling ...
Qingyi Zhang, Xiaoxiao Fang, Tao Liu, Ronghua Wu, Liguo Liu, Chu He   +5 more
doaj   +1 more source

Visualization of Skewed Data: A Tool in R [PDF]

, 2014
In this work we present a visualization tool specifically tailored to deal with skewed data. The technique is based upon the use of two types of notched boxplots (the usual one, and one which is tuned for the skewness of the data), the violin plot, the ...
Frery, A. C., Larangeiras, A. M., Ospina, R.   +2 more
core   +2 more sources

Semantic segmentation of PolSAR image data using advanced deep learning model. [PDF]

Sci Rep, 2021
Garg R, Kumar A, Bansal N, Prateek M, Kumar S.   +4 more
europepmc   +1 more source

Evaluación de la degradación de la tierra usando la entropía de shannon sobre imágenes polarimétricas en desiertos costeros Patagónicos [PDF]

, 2013
En esta investigación se focalizó en la Entropía de Shannon (ES) para la caracterización de imágenes polarimétricas de apertura sintética. Este parámetro analiza la contribución de la información por pixeles individuales para toda la imagen en la ...
Blanco, Paula Daniela, del Valle, Hector Francisco, Hardtke, Leonardo Andrés, Sione, Walter Fabian   +3 more
core   +1 more source

BSDSNet: Dual-Stream Feature Extraction Network Based on Segment Anything Model for Synthetic Aperture Radar Land Cover Classification

Remote Sensing
Land cover classification using high-resolution Polarimetric Synthetic Aperture Radar (PolSAR) images obtained from satellites is a challenging task. While deep learning algorithms have been extensively studied for PolSAR image land cover classification,
Yangyang Wang, Wengang Zhang, Weidong Chen, Chang Chen   +3 more
doaj   +1 more source

Fast Superpixel Segmentation Algorithm for PolSAR Images

Leida xuebao, 2017
As a pre-processing technique, superpixel segmentation algorithms should be of high computational efficiency, accurate boundary adherence and regular shape in homogeneous regions. A fast superpixel segmentation algorithm based on Iterative Edge Refinement (IER) has shown to be applicable on optical images.
Zhang Yue, Zou Huanxin, Shao Ningyuan, Zhou Shilin, Ji Kefeng   +4 more
openaire   +1 more source

A Lightweight Complex-Valued DeepLabv3+ for Semantic Segmentation of PolSAR Image [PDF]

, 2022
Lingjuan Yu, Zhaoxin Zeng, Ao Liu, Xiaochun Xie, Haipeng Wang, Feng Xu, Wen Hong   +6 more
openalex   +1 more source

Polarimetric Contextual Classification of PolSAR Images Using Sparse Representation and Superpixels

Remote Sensing, 2014
In recent years, sparse representation-based techniques have shown great potential for pattern recognition problems. In this paper, the problem of polarimetric synthetic aperture radar (PolSAR) image classification is investigated using sparse ...
Jilan Feng, Zongjie Cao, Yiming Pi
doaj   +1 more source