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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 11–20 of 33 papers

TitleStatusHype
Satellite image classification with neural quantum kernels—0
Onboard Satellite Image Classification for Earth Observation: A Comparative Study of ViT ModelsCode0
Kolmogorov-Arnold Network for Satellite Image Classification in Remote SensingCode0
An Effective Weight Initialization Method for Deep Learning: Application to Satellite Image ClassificationCode0
Enhancing Ship Classification in Optical Satellite Imagery: Integrating Convolutional Block Attention Module with ResNet for Improved Performance—0
Diagnosing Model Performance Under Distribution ShiftCode0
Improving Human-AI Collaboration With Descriptions of AI Behavior—0
Data Generation for Satellite Image Classification Using Self-Supervised Representation Learning—0
2-speed network ensemble for efficient classification of incremental land-use/land-cover satellite image chips—0
Out-of-distribution detection in satellite image classification—0
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