Multiscale adaptive PolSAR image superpixel generation based on local iterative clustering and polarimetric scattering features
Authors:
- Nengcai LiNLNengcai Li
- Deliang XiangDXDeliang Xiang
- Xiaokun SunXSXiaokun Sun
- Canbin HuCanbin Hu
- Yi SuYSYi Su
- 25 December 2024
- journal article
- Published by Elsevier in ISPRS Journal of Photogrammetry and Remote Sensing
- Vol. 220, 307-322
Abstract
No abstract availableFunding Information
- National Natural Science Foundation of China (62171015)
This publication has 40 references indexed in Scilit:
- A general three-component polarimetric SAR interferometry target decompositionAdvances In Space Research, 2024
- Superpixelwise likelihood ratio test statistic for PolSAR data and its application to built-up area extractionISPRS Journal of Photogrammetry and Remote Sensing, 2024
- Difference-guided multiscale graph convolution network for unsupervised change detection in PolSAR imagesNeurocomputing, 2023
- Semantic segmentation of PolSAR image data using advanced deep learning modelScientific Reports, 2021
- Polarimetric decomposition methods for LULC mapping using ALOS L-band PolSAR data in Western parts of Mizoram, Northeast IndiaSN Applied Sciences, 2020
- A review on synthetic aperture radar-based building damage assessment in disastersRemote Sensing of Environment, 2020
- Unsupervised classification of polarimetric SAR imagery using large-scale spectral clustering with spatial constraintsInternational Journal of Remote Sensing, 2015
- A Riemannian Framework for Tensor ComputingInternational Journal of Computer Vision, 2006
- Mean shift: a robust approach toward feature space analysisIEEE Transactions on Pattern Analysis and Machine Intelligence, 2002
- Normalized cuts and image segmentationIEEE Transactions on Pattern Analysis and Machine Intelligence, 2000