Unsupervised Classification of PolSAR Data Using a Scattering Similarity Measure Derived from a Geodesic Distance

1 December 2017

Papers citing "Unsupervised Classification of PolSAR Data Using a Scattering Similarity Measure Derived from a Geodesic Distance"

4 / 4 papers shown

Title
Explainable, Physics Aware, Trustworthy AI Paradigm Shift for Synthetic Aperture Radar Mihai Datcu Zhongling Huang Andrei Anghel Juanping Zhao R. Cacoveanu 64 0 0 09 Jan 2023
Self-supervised remote sensing feature learning: Learning Paradigms, Challenges, and Future Works Chao Tao Ji Qi Mingning Guo Qing Zhu Haifeng Li SSL 104 59 0 15 Nov 2022
A PolSAR Scattering Power Factorization Framework and Novel Roll-Invariant Parameters Based Unsupervised Classification Scheme Using a Geodesic Distance D. Ratha E. Pottier A. Bhattacharya A. Frery 23 46 0 27 Jun 2019
Region-Based Classification of PolSAR Data Using Radial Basis Kernel Functions With Stochastic Distances R. Negri A. Frery W. B. Silva T. Mendes L. Dutra 15 12 0 07 May 2018