Results 91 to 100 of about 2,377 (186)
PolSAR Classification Using Contextual Based Locality Preserving Projection and Guided Filtering
Contextual feature extraction is studied for polarimetric synthetic aperture radar (PolSAR) image classification in this work. The contextual locality preserving projection (CLPP) method is proposed for generation of contextual feature cubes using ...
Maryam Imani
doaj
Visualization of Skewed Data: A Tool in R [PDF]
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. +2 more
core +2 more sources
Composite Kernel Method for PolSAR Image Classification Based on Polarimetric-Spatial Information
The composite kernel feature fusion proposed in this paper attempts to solve the problem of classifying polarimetric synthetic aperture radar (PolSAR) images. Here, PolSAR images take into account both polarimetric and spatial information.
Xianyuan Wang +3 more
doaj +1 more source
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
core +1 more source
Ionospheric Specifications for SAR Interferometry (ISSI) [PDF]
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. +6 more
core +1 more source
Improving Wishart Classification of Polarimetric SAR Data Using the Hopfield Neural Network Optimization Approach. [PDF]
This paper proposes the optimization relaxation approach based on the analogue Hopfield Neural Network (HNN) for cluster refinement of pre-classified Polarimetric Synthetic Aperture Radar (PolSAR) image data.
Carlos López-Martínez +34 more
core +7 more sources
Built-up area extraction from polarimetric SAR (PolSAR) imagery has a close relationship with urban planning, disaster management, etc. Since the buildings have complex geometries and may be misclassified as forests due to the significant cross-polarized
Deliang Xiang +4 more
doaj +1 more source
A Hierarchical Extension of General Four-Component Scattering Power Decomposition
The overestimation of volume scattering (OVS) is an intrinsic drawback in model-based polarimetric synthetic aperture radar (PolSAR) target decomposition.
Sinong Quan +4 more
doaj +1 more source
Modelling PolSAR Scattering Signatures at Long Wavelengths of Glacier Ice Volumes [PDF]
The crucial role of cryosphere for understanding the global climate change has been widely recognized in recent decades [1]. Glaciers and ice sheets are the main components of the cryosphere and constitute the basic reservoir of fresh water for high ...
Al-Kahachi, Noora +4 more
core
Nearshore ship detection has significant applications in both the military and civilian domains. Compared to synthetic aperture radar (SAR), polarimetric synthetic aperture radar (PolSAR) provides richer information for analyzing the scattering ...
Shujie Wu +6 more
doaj +1 more source

