Novel Piecewise Distance Based on Adaptive Region Key-Points Extraction for LCCD With VHR Remote-Sensing Images-Reference-Cited by-同舟云学术

Novel Piecewise Distance Based on Adaptive Region Key-Points Extraction for LCCD With VHR Remote-Sensing Images

Published:2023 Issue: Volume:61 Page:1-9
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Lv Zhiyong¹^ORCID,Zhong Pingdong¹,Wang Wei²,You Zhenzhen¹,Benediktsson Jón Atli³^ORCID,Shi Cheng¹^ORCID

Affiliation:

1. School of Computer Science and Engineering, Xi’an University of Technology, Xi’an, China

2. State Key Laboratory of Rail Transit Engineering Informatization (FSDI), Xi’an, China

3. Computer Engineering, University of Iceland, Reykjavik, IS, Iceland

Funder

Foundation from the State Key Laboratory of Rail Transit Engineering Informatization

Open Fund of Key Laboratory of Geospatial Technology for the Middle and Lower Yellow River Regions (Henan University) through the Ministry of Education

Natural Science Basic Research Program of Shaanxi

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Earth and Planetary Sciences,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/36/10006360/10103909.pdf?arnumber=10103909

Reference43 articles.

1. Local Histogram-Based Analysis for Detecting Land Cover Change Using VHR Remote Sensing Images

2. Change Detection Based on Gabor Wavelet Features for Very High Resolution Remote Sensing Images

3. Unsupervised Change Detection Using Spectrum-Trend and Shape Similarity Measure

4. Semi-automated landslide inventory mapping from bitemporal aerial photographs using change detection and level set method

5. Local Spectrum-Trend Similarity Approach for Detecting Land-Cover Change by Using SPOT-5 Satellite Images

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