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Satellite Image Classification

Satellite image classification is the most significant technique used in remote sensing for the computerized study and pattern recognition of satellite information, which is based on diversity structures of the image that involve rigorous validation of the training samples depending on the used classification algorithm.

Papers

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Showing 26–33 of 33 papers

TitleStatusHype
predictSLUMS: A new model for identifying and predicting informal settlements and slums in cities from street intersections using machine learning—0
Adversarial Examples in Remote Sensing—0
Learning Multi-Scale Deep Features for High-Resolution Satellite Image Classification—0
Recurrent Neural Networks to Correct Satellite Image Classification Maps—0
Discriminative Learning of Deep Convolutional Feature Point DescriptorsCode0
DeepSat - A Learning framework for Satellite ImageryCode0
Satellite image classification and segmentation using non-additive entropy—0
Satellite image classification methods and Landsat 5TM bands—0
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