scholarly journals REMOVAL OF CLOUD AND SHADOW INFLUENCE FROM REMOTELY SENSED IMAGES THROUGH LANDSAT8/OLI/TIRS USING MINIMUM DISTANCE SUPERVISED CLASSIFICATION

2021 ◽  
Vol 12 (6) ◽  
pp. 1734-1748
Author(s):  
Renuka S. Gound ◽  
Dr. Sudeep D. Thepade
2014 ◽  
Vol 55 ◽  
Author(s):  
Giedrius Stabingis ◽  
Lijana Stabingienė

In this paper the remote sensed image classification example using spacial classification rule with distance (SCRD) is examined. This supervised classification method was first presented in paper [11]. This method is improved version of earlier method PBDF [4, 10, 9], during the classification it incorporates more spatial information. The advantage of this method is its ability to classify data which is corrupted by Gaussian random field and it is typical to remotely sensed images classified in this letter which are corrupted by clouds. Classification accuracy is compared with earlier method and with other commonly used supervised classification methods.


2004 ◽  
Author(s):  
Gabriele Moser ◽  
Sebastiano B. Serpico ◽  
Michaela De Martino ◽  
Daniele Coppolino

Author(s):  
Rui Li ◽  
Chenxi Duan ◽  
Shunyi Zheng ◽  
Ce Zhang ◽  
Peter M. Atkinson

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