Peer-reviewed Article

Using convolutional neural networks to identify objects from very high-resolution remote sensing imagery

In Journal of Applied Remote Sensing 12 (2)
Author: 
Tengyu
FU
Lei
MA
Manchun
LI
2018-05

A new method for classifying land cover features in high resolution satellite imagery was developed. The method involves (1) performing image segmentation to delineate homogeneous ground objects in the image, and (2) using a convolutional neural network classifier to extract the land cover of the segments (i.e. whether they represent buildings, cropland, forest, etc.).

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Publisher: 
SPIE
Page Information:
025010