ARMA-model-based region-growing method for extracting lake region in a remote sensing image

2004 ◽  
Author(s):  
Chi H. Chen ◽  
Peter Pei-Gee Ho
Keyword(s):  
Remote Sensing ◽  
Arma Model ◽  
Region Growing ◽  
Remote Sensing Image ◽  
Model Based ◽  
Lake Region

Weighted model-based clustering for remote sensing image analysis

2009 ◽  
Vol 14 (1) ◽  
pp. 125-136 ◽  
Author(s):  
Joseph W. Richards ◽  
Johanna Hardin ◽  
Eric B. Grosfils
Keyword(s):  
Remote Sensing ◽  
Image Analysis ◽  
Remote Sensing Image ◽  
Model Based Clustering ◽  
Model Based ◽  
Weighted Model

scholarly journals BUILDING SHADOW DETECTION FROM GHOST IMAGERY

2018 ◽  
Vol XLII-3 ◽  
pp. 2527-2530
Author(s):  
G. Zhou ◽  
J. Sha ◽  
T. Yue ◽  
Q. Wang ◽  
X. Liu ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Zenith Angle ◽  
Large Scale ◽  
Region Growing ◽  
Remote Sensing Image ◽  
Difficult Problem ◽  
Shadow Detection ◽  
Ghost Image ◽  
Basic Features ◽  
Remote Sensing Image Processing

Shadow is one of the basic features of remote sensing image, it expresses a lot of information of the object which is loss or interference, and the removal of shadow is always a difficult problem to remote sensing image processing. In this paper, it is mainly analyzes the characteristics and properties of shadows from the ghost image (traditional orthorectification). The DBM and the interior and exterior orientation elements of the image are used to calculate the zenith angle of sun. Then this paper combines the scope of the architectural shadows which has be determined by the zenith angle of sun with the region growing method to make the detection of architectural shadow areas. This method lays a solid foundation for the shadow of the repair from the ghost image later. It will greatly improve the accuracy of shadow detection from buildings and make it more conducive to solve the problem of urban large-scale aerial imagines.

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