Building change detection in a couple of optical and SAR high resolution images

2011 ◽  
Author(s):  
E. Barthelet ◽  
G. Mercier ◽  
L. Denise
Keyword(s):  
High Resolution ◽  
Change Detection ◽  
High Resolution Images

Urban Change Detection Related to Earthquakes Using an Adaptive Nonlinear Mapping of High-Resolution Images

2004 ◽  
Vol 1 (3) ◽  
pp. 152-156 ◽  
Author(s):  
Y. Kosugi ◽  
M. Sakamoto ◽  
M. Fukunishi ◽  
W. Lu ◽  
T. Doihara ◽  
...  
Keyword(s):  
High Resolution ◽  
Change Detection ◽  
Urban Change ◽  
Nonlinear Mapping ◽  
High Resolution Images

scholarly journals OBJECT-ORIENTED CHANGE DETECTION BASED ON MULTI-SCALE APPROACH

2016 ◽  
Vol XLI-B7 ◽  
pp. 517-522
Author(s):  
Yonghong Jia ◽  
Mingting Zhou ◽  
Ye Jinshan
Keyword(s):  
Remote Sensing ◽  
High Resolution ◽  
Change Detection ◽  
Object Oriented ◽  
Remote Sensing Image ◽  
Multi Scale ◽  
Single Scale ◽  
High Resolution Images ◽  
Image Object ◽  
Scale Classification

The change detection of remote sensing images means analysing the change information quantitatively and recognizing the change types of the surface coverage data in different time phases. With the appearance of high resolution remote sensing image, object-oriented change detection method arises at this historic moment. In this paper, we research multi-scale approach for high resolution images, which includes multi-scale segmentation, multi-scale feature selection and multi-scale classification. Experimental results show that this method has a stronger advantage than the traditional single-scale method of high resolution remote sensing image change detection.

Change detection in very high-resolution images based on ensemble CNNs

2020 ◽  
Vol 41 (12) ◽  
pp. 4757-4779 ◽  
Author(s):  
Xinlong Zhang ◽  
Rui Fan ◽  
Lei Ma ◽  
Xiaohan Liao ◽  
Xiuwan Chen
Keyword(s):  
High Resolution ◽  
Change Detection ◽  
High Resolution Images ◽  
Very High

scholarly journals OBJECT-ORIENTED CHANGE DETECTION BASED ON MULTI-SCALE APPROACH

2016 ◽  
Vol XLI-B7 ◽  
pp. 517-522
Author(s):  
Yonghong Jia ◽  
Mingting Zhou ◽  
Ye Jinshan
Keyword(s):  
Remote Sensing ◽  
High Resolution ◽  
Change Detection ◽  
Object Oriented ◽  
Remote Sensing Image ◽  
Multi Scale ◽  
Single Scale ◽  
High Resolution Images ◽  
Image Object ◽  
Scale Classification

The change detection of remote sensing images means analysing the change information quantitatively and recognizing the change types of the surface coverage data in different time phases. With the appearance of high resolution remote sensing image, object-oriented change detection method arises at this historic moment. In this paper, we research multi-scale approach for high resolution images, which includes multi-scale segmentation, multi-scale feature selection and multi-scale classification. Experimental results show that this method has a stronger advantage than the traditional single-scale method of high resolution remote sensing image change detection.

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