SOTAVerified

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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1–33 of 33 papers

TitleStatusHype
Current Trends in Deep Learning for Earth Observation: An Open-source Benchmark Arena for Image ClassificationCode2
FlightScope: An Experimental Comparative Review of Aircraft Detection Algorithms in Satellite ImageryCode1
Reduction of Class Activation Uncertainty with Background InformationCode1
Generative Adversarial Minority Oversampling for Spectral-Spatial Hyperspectral Image ClassificationCode1
Classification and understanding of cloud structures via satellite images with EfficientUNetCode1
SpinalNet: Deep Neural Network with Gradual InputCode1
An Open-source Tool for Hyperspectral Image Augmentation in TensorflowCode1
Practical insights on the effect of different encodings, ansätze and measurements in quantum and hybrid convolutional neural networksCode0
Deep Ensembling of Multiband Images for Earth Remote Sensing and Foramnifera DataCode0
Improving Power Plant CO2 Emission Estimation with Deep Learning and Satellite/Simulated DataCode0
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
Satellite Image Classification with Deep Learning—0
SatImNet: Structured and Harmonised Training Data for Enhanced Satellite Imagery Classification—0
DeepSat V2: Feature Augmented Convolutional Neural Nets for Satellite Image ClassificationCode0
Using satellite image classification and digital terrain modelling to assess forest species distribution on mountain slopes.A case study in Varatec Forest District—0
Morphological Network: How Far Can We Go with Morphological Neurons?—0
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
Show:102550

No leaderboard results yet.