Unsupervised polarimetric synthetic aperture radar image classification based on sketch map and adaptive Markov random field-Reference-Cited by-同舟云学术

Unsupervised polarimetric synthetic aperture radar image classification based on sketch map and adaptive Markov random field

Published:2016-05-02 Issue:2 Volume:10 Page:025008
ISSN:1931-3195
Container-title:Journal of Applied Remote Sensing
language:en
Short-container-title:J. Appl. Remote Sens

Author:

Shi Junfei¹,Li Lingling²,Liu Fang¹,Jiao Licheng²,Liu Hongying²,Yang Shuyuan²,Liu Lu²,Hao Hongxia¹

Affiliation:

1. Xidian University, School of Computer Science and Technology, No. 2 South Taibai Road, Xi’an, Shaanxi 710071, ChinabXidian University, Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, International Research Center

2. Xidian University, Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, International Research Center for Intelligent Perception and Computation, Joint International Research Laboratory of Intelligent Perception and C

Publisher

SPIE-Intl Soc Optical Eng

Subject

General Earth and Planetary Sciences

Reference55 articles.

1. Segmentation of polarimetric synthetic aperture radar data

2. Automatic PolSAR segmentation with the U-distribution and Markov random fields;Doulgeris,2012

3. A New MRF Framework with Dual Adaptive Contexts for Image Segmentation

4. An Adaptive Contextual SEM Algorithm for Urban Land Cover Mapping Using Multitemporal High-Resolution Polarimetric SAR Data

5. Synthetic aperture radar image segmentation by a detail preserving Markov random field approach

Cited by 8 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. PolSAR Image Classification via Feature Selection and Edge Preservation Using Attention-Based CNN;IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium;2024-07-07

2. Polarimetric Synthetic Aperture Radar Image Classification Based on Double-Channel Convolution Network and Edge-Preserving Markov Random Field;Remote Sensing;2023-11-22

3. PolSAR Image Classification Based on Statistical Distribution and MRF;Remote Sensing;2020-03-23

4. A Novel Hybrid Edge Detection Method for Polarimetric SAR Images;IEEE Access;2020

5. A Novel Multi-Feature Joint Learning Method for Fast Polarimetric SAR Terrain Classification;IEEE Access;2020