Random point patterns and bags of visual words for remote sensing imagery

2019 ◽  
Vol 13 (03) ◽  
pp. 1
Author(s):  
Rostyslav Y. Kosarevych ◽  
Oleksiy A. Lutsyk ◽  
Oleg V. Kapshii ◽  
Bogdan P. Rusyn
Keyword(s):  
Remote Sensing ◽  
Random Point ◽  
Remote Sensing Imagery ◽  
Visual Words ◽  
Point Patterns ◽  
Bags Of Visual Words

Bag-of-Visual-Words Scene Classifier With Local and Global Features for High Spatial Resolution Remote Sensing Imagery

2016 ◽  
Vol 13 (6) ◽  
pp. 747-751 ◽  
Author(s):  
Qiqi Zhu ◽  
Yanfei Zhong ◽  
Bei Zhao ◽  
Gui-Song Xia ◽  
Liangpei Zhang
Keyword(s):  
Remote Sensing ◽  
Spatial Resolution ◽  
High Spatial Resolution ◽  
Bag Of Visual Words ◽  
Global Features ◽  
Remote Sensing Imagery ◽  
Visual Words ◽  
Local And Global Features

Estimations for Percentage of Impervious Area by the Use of Satellite Remote Sensing Imagery

1994 ◽  
Vol 29 (1-2) ◽  
pp. 135-144 ◽  
Author(s):  
C. Deguchi ◽  
S. Sugio
Keyword(s):  
Remote Sensing ◽  
High Resolution ◽  
Satellite Imagery ◽  
Satellite Remote Sensing ◽  
Aerial Photographs ◽  
Estimation Errors ◽  
Remote Sensing Imagery ◽  
Impervious Area ◽  
Urbanized Areas

This study aims to evaluate the applicability of satellite imagery in estimating the percentage of impervious area in urbanized areas. Two methods of estimation are proposed and applied to a small urbanized watershed in Japan. The area is considered under two different cases of subdivision; i.e., 14 zones and 17 zones. The satellite imageries of LANDSAT-MSS (Multi-Spectral Scanner) in 1984, MOS-MESSR(Multi-spectral Electronic Self-Scanning Radiometer) in 1988 and SPOT-HRV(High Resolution Visible) in 1988 are classified. The percentage of imperviousness in 17 zones is estimated by using these classification results. These values are compared with the ones obtained from the aerial photographs. The percent imperviousness derived from the imagery agrees well with those derived from aerial photographs. The estimation errors evaluated are less than 10%, the same as those obtained from aerial photographs.

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