Automatic selection of optimal segmentation scales for high-resolution remote sensing images

2013 ◽  
Author(s):  
Ruijuan Yin ◽  
Runhe Shi ◽  
Wei Gao
Keyword(s):  
Remote Sensing ◽  
High Resolution ◽  
Remote Sensing Images ◽  
Automatic Selection ◽  
Optimal Segmentation ◽  
Selection Of

scholarly journals A novel registration method for high resolution remote sensing images based on JSEG and NMI

2015 ◽  
Vol 12 (1) ◽  
pp. 289-306 ◽  
Author(s):  
Chao Wang ◽  
Aiye Shi ◽  
Xin Wang ◽  
Fengchen Huang ◽  
Hui Liu
Keyword(s):  
Remote Sensing ◽  
High Resolution ◽  
Image Registration ◽  
Control Point ◽  
Remote Sensing Images ◽  
Registration Method ◽  
Multi Scale ◽  
Feature Point Extraction ◽  
First Time ◽  
Selection Of

When traditional multi-scale analysis tools are applied to high resolution remote sensing image registration, difficulties and limitations are common in selection of directional sub-bands and distribution optimization of control point pairs etc. Aiming at this issue, a novel registration method based on JSEG and NMI is proposed in this paper. It is the method that incorporates the multi-scale segmentation method (JSEG) into image registration for the first time and proposes an adaptive feature point extraction method on the basis of blocking strategy. Then, NMI is adopted to obtain a set of control point pairs. Finally, the image registration is realized by virtue of Delaunay triangle local transform mapping functions. In accordance with experiments on high resolution remote sensing images collected by different sensors, it is found that the method can not only extract feature points accurately but also ensure reasonable distribution of control point pairs. Meanwhile, compared with traditional multi-scale tools-based methods, the method has relatively high accuracy and robustness.

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