Satellite Image Classification
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Benchmarks
Most implemented
SpinalNet: Deep Neural Network with Gradual Input
Reduction of Class Activation Uncertainty with Background Information
Current Trends in Deep Learning for Earth Observation: An Open-source Benchmark Arena for Image Classification
Discriminative Learning of Deep Convolutional Feature Point Descriptors
Papers
Quantum-enhanced satellite image classification
We demonstrate the application of a quantum feature extraction method to enhance multi-class image classification for space applications. By harnessing the dynamics of many-body spin Hamiltonians, the method generates ex…
Satellite Image ClassificationTransfer LearningBalanced Multi-Task Attention for Satellite Image Classification: A Systematic Approach to Achieving 97.23% Accuracy on EuroSAT Without Pre-Training
This work presents a systematic investigation of custom convolutional neural network architectures for satellite land use classification, achieving 97.23% test accuracy on the EuroSAT dataset without reliance on pre-trai…
Satellite Image ClassificationL-MCAT: Unpaired Multimodal Transformer with Contrastive Attention for Label-Efficient Satellite Image Classification
We propose the Lightweight Multimodal Contrastive Attention Transformer (L-MCAT), a novel transformer-based framework for label-efficient remote sensing image classification using unpaired multimodal satellite data. L-MC…
Remote Sensing Image ClassificationSatellite Image ClassificationPractical insights on the effect of different encodings, ansätze and measurements in quantum and hybrid convolutional neural networks
This study investigates the design choices of parameterized quantum circuits (PQCs) within quantum and hybrid convolutional neural network (HQNN and QCNN) architectures, applied to the task of satellite image classificat…
image-classificationImage ClassificationSatellite Image ClassificationDeep Ensembling of Multiband Images for Earth Remote Sensing and Foramnifera Data
The classification of multiband images captured by advanced sensors, such as satellite-mounted imaging systems, is a critical task in remote sensing and environmental monitoring. These sensors provide high-dimensional da…
ClassificationEnsemble Learningimage-classificationImage Classification+1Improving Power Plant CO2 Emission Estimation with Deep Learning and Satellite/Simulated Data
CO2 emissions from power plants, as significant super emitters, contribute substantially to global warming. Accurate quantification of these emissions is crucial for effective climate mitigation strategies. While satelli…
regressionSatellite Image Classification