DEEP LEARNING APPROACH FOR REMOTE SENSING IMAGE ANALYSIS
D2_1710_03_Benoit
D2_1710_03_Benoit
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Results :<br />
6 layers deep net, 5*5 neighbors<br />
Per class accuracy mostly stable ~95% on average<br />
Classification errors explained by :<br />
• similar spectral profiles<br />
• boundary effects (ROI size vs neighborhood class)
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