A new web-based system for unsupervised classification of satellite images from the Google Maps engine

2012 ◽  
Author(s):  
Ángel Ferrán ◽  
Sergio Bernabé ◽  
Pablo García-Rodríguez ◽  
Antonio Plaza
Keyword(s):  
Satellite Images ◽  
Unsupervised Classification ◽  
Google Maps ◽  
Web Based ◽  
Web Based System

A Web-Based System for Classification of Remote Sensing Data

2013 ◽  
Vol 6 (4) ◽  
pp. 1934-1948 ◽  
Author(s):  
Angel Ferran ◽  
Sergio Bernabe ◽  
Pablo G. Rodriguez ◽  
Antonio Plaza
Keyword(s):  
Remote Sensing ◽  
Remote Sensing Data ◽  
Web Based ◽  
Sensing Data ◽  
Web Based System

scholarly journals Detection and Two-Step Classification of Erosional Damages with Help of Soil Sample Analysis and Satellite Images

Geografie ◽  
1997 ◽  
Vol 102 (1) ◽  
pp. 17-30
Author(s):  
Jaromír Kolejka ◽  
Jásim K. Shallal
Keyword(s):  
Cluster Analysis ◽  
Soil Sample ◽  
Satellite Images ◽  
Surface Soil ◽  
Satellite Image ◽  
Unsupervised Classification ◽  
Sample Analysis ◽  
Free Fields

Surface soil data have been processed using the unsupervised classification (cluster analysis). Three soil categories with different erosional characteristics have been detected: heavily, moderately and slightly/no damaged soils. The supervised satellite image classification (MLC) was based on the data taken from case study areas in the proximity of classified soil sample sites on the vegetation free-fields.

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