Classification and Segmentation of Satellite Orthoimagery Using Convolutional Neural Networks

Classification and Segmentation of Satellite Orthoimagery Using Convolutional Neural Networks

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 orthoimag...

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Bibliographic Details
Main Authors: Martin Längkvist, Andrey Kiselev, Marjan Alirezaie, Amy Loutfi
Format: Article
Language:English
Published: MDPI AG 2016-04-01
Series:Remote Sensing
Subjects:
remote sensing
orthoimagery
convolutional neural network
per-pixel classification
segmentation
region merging
Online Access:http://www.mdpi.com/2072-4292/8/4/329

Internet

http://www.mdpi.com/2072-4292/8/4/329

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