The Research of Multi-scale Effect on Remote Sensing Image Object Detection

Author(s):  
Guangkuo Ma ◽  
Yifan Dong ◽  
Yun Su ◽  
Wei Xu ◽  
Pingping Huang
2021 ◽  
Author(s):  
Wenhua Zhuang ◽  
Xiao-Gang Tang ◽  
Guangyu Yang ◽  
Guangming Yuan ◽  
Haoyuan Yu

IEEE Access ◽  
2021 ◽  
Vol 9 ◽  
pp. 118696-118707
Author(s):  
Pengfei Shi ◽  
Zhongxin Zhao ◽  
Xinnan Fan ◽  
Xijun Yan ◽  
Wei Yan ◽  
...  

2020 ◽  
Vol 79 (47-48) ◽  
pp. 34973-34992
Author(s):  
Dongjun Zhu ◽  
Shixiong Xia ◽  
Jiaqi Zhao ◽  
Yong Zhou ◽  
Qiang Niu ◽  
...  

Author(s):  
Yonghong Jia ◽  
Mingting Zhou ◽  
Ye Jinshan

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.


Author(s):  
Yonghong Jia ◽  
Mingting Zhou ◽  
Ye Jinshan

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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