Satellite Image Classification
5 papers with code • 3 benchmarks • 0 datasets
Benchmarks
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Datasets
Greatest papers with code
Discriminative Learning of Deep Convolutional Feature Point Descriptors
etrulls/deepdesc-release
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ICCV 2015
Deep learning has revolutionalized image-level tasks such as classification, but patch-level tasks, such as correspondence, still rely on hand-crafted features, e. g. SIFT.
Ranked #2 on
Satellite Image Classification
on SAT-4
Generative Adversarial Minority Oversampling for Spectral-Spatial Hyperspectral Image Classification
A different classifier from the generator and the discriminator is used in the 3D-HyperGAMO model, which is trained using both original and generated samples to {determine} the classes of newly generated samples to which they actually belong.
An Open-source Tool for Hyperspectral Image Augmentation in Tensorflow
mabdelhack/hyperspectral_image_generator
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Tensorflow tool allows for rapid prototyping and testing of deep learning models, however, its built-in image generator is designed to handle a maximum of four spectral channels.
DeepSat - A Learning framework for Satellite Imagery
Satellite image classification is a challenging problem that lies at the crossroads of remote sensing, computer vision, and machine learning.
Ranked #2 on
Satellite Image Classification
on SAT-6
Classification and understanding of cloud structures via satellite images with EfficientUNet
Climate change has been a common interest and the forefront of crucial political discussion and decision-making for many years.
Ranked #1 on
Satellite Image Classification
on NASA Worldview