A change detection method for remote sensing image based on LBP and SURF feature

2018 ◽  
Author(s):  
Lei Hu ◽  
Hao Yang ◽  
Jin Li ◽  
Yun Zhang
Keyword(s):  
Remote Sensing ◽  
Change Detection ◽  
Detection Method ◽  
Remote Sensing Image

scholarly journals Change Detection Method of High Resolution Remote Sensing Image Based on D-S Evidence Theory Feature Fusion

IEEE Access ◽  
2021 ◽  
Vol 9 ◽  
pp. 4673-4687
Author(s):  
Jixiang Zhao ◽  
Shanwei Liu ◽  
Jianhua Wan ◽  
Muhammad Yasir ◽  
Huayu Li
Keyword(s):  
Remote Sensing ◽  
High Resolution ◽  
Change Detection ◽  
Detection Method ◽  
Feature Fusion ◽  
Evidence Theory ◽  
Remote Sensing Image

Research on Linear Features Change Detection Based on Remote Sensing Image and Vector Data

2013 ◽  
Vol 679 ◽  
pp. 83-87
Author(s):  
Zuo Chang Zhang ◽  
Xin Peng ◽  
Tian Qi
Keyword(s):  
Remote Sensing ◽  
Change Detection ◽  
Template Matching ◽  
Detection Method ◽  
Buffer Zone ◽  
Remote Sensing Image ◽  
Vector Data ◽  
Linear Features ◽  
Multi Scale ◽  
Edge Points

To prompt the present situation and utilized values of fundamental geo-information, this paper focuses on a change detection method based on remote sensing image and GIS vector for linear features. Firstly unilateral vector was taken as original value of linear features; then edge points were picked up by pyramid decomposition and multi-scale template matching, and Ziplock Snake method was adopted to further improve the extraction results; finally buffer zone was constructed to distinguish the changed part. This change detection method proves to have higher degree of automation and more precise, so long as the registration of remote sensing image and vector map is accurate.

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