Classification and Segmentation of Satellite Orthoimagery Using Convolutional Neural Networks

Remote Sensing, Volume 8, Issue 4, 2016.

Cited by: 73|Bibtex|Views11|Links
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Abstract:

The availability of high-resolution remote sensing (HRRS) data has opened up the possibility for new interesting applications, such as per-pixel classification of individual objects in greater detail. This paper shows how a convolutional neural network (CNN) can be applied to multispectral orthoimagery and a digital surface model (DSM) of...More

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