# Remote-Sensing Image Classification

**Type:** Topics  
**Canonical URL:** https://scholariq.org/topics/remote-sensing-image-classification/

## Facts

| Field | Value |
| --- | --- |
| Description | This cluster of papers focuses on the advances in hyperspectral image analysis, remote sensing, and classification. It covers topics such as deep learning, change detection, spectral unmixing, feature extraction, and object-based analysis for remote sensing applications. |
| Domain | Physical Sciences |
| Field | Engineering |
| OpenAlex ID | t10689 |
| Works | 155 |

## Topic papers all

Showing 15 of 155.

- [Deep Feature Extraction and Classification of Hyperspectral Images Based on Convolutional Neural Networks](https://scholariq.org/papers/deep-feature-extraction-and-classification-of-hyperspectral-images-based-on/)
- [Deep Recurrent Neural Networks for Hyperspectral Image Classification](https://scholariq.org/papers/deep-recurrent-neural-networks-for-hyperspectral-image-classification/)
- [SNUNet-CD: A Densely Connected Siamese Network for Change Detection of VHR Images](https://scholariq.org/papers/snunet-cd-a-densely-connected-siamese-network-for-change-detection-of-vhr-images/)
- [Support Vector Machine Versus Random Forest for Remote Sensing Image Classification: A Meta-Analysis and Systematic Review](https://scholariq.org/papers/support-vector-machine-versus-random-forest-for-remote-sensing-image/)
- [Advances in Hyperspectral Image and Signal Processing: A Comprehensive Overview of the State of the Art](https://scholariq.org/papers/advances-in-hyperspectral-image-and-signal-processing-a-comprehensive-overview/)
- [SpectralGPT: Spectral Remote Sensing Foundation Model](https://scholariq.org/papers/spectralgpt-spectral-remote-sensing-foundation-model/)
- [Large Selective Kernel Network for Remote Sensing Object Detection](https://scholariq.org/papers/large-selective-kernel-network-for-remote-sensing-object-detection/)
- [Generative Adversarial Networks for Hyperspectral Image Classification](https://scholariq.org/papers/generative-adversarial-networks-for-hyperspectral-image-classification/)
- [Advanced Spectral Classifiers for Hyperspectral Images: A review](https://scholariq.org/papers/advanced-spectral-classifiers-for-hyperspectral-images-a-review/)
- [Distributed solar photovoltaic array location and extent dataset for remote sensing object identification](https://scholariq.org/papers/distributed-solar-photovoltaic-array-location-and-extent-dataset-for-remote/)
- [Multiscale Dynamic Graph Convolutional Network for Hyperspectral Image Classification](https://scholariq.org/papers/multiscale-dynamic-graph-convolutional-network-for-hyperspectral-image/)
- [Feature Selection Based on Hybridization of Genetic Algorithm and Particle Swarm Optimization](https://scholariq.org/papers/feature-selection-based-on-hybridization-of-genetic-algorithm-and-particle-swarm/)
- [Classification of Hyperspectral and LiDAR Data Using Coupled CNNs](https://scholariq.org/papers/classification-of-hyperspectral-and-lidar-data-using-coupled-cnns/)
- [Change detection techniques for remote sensing applications: a survey](https://scholariq.org/papers/change-detection-techniques-for-remote-sensing-applications-a-survey/)
- [Locally Weighted Ensemble Clustering](https://scholariq.org/papers/locally-weighted-ensemble-clustering/)

## Topic primary papers

Showing 15 of 65.

- [Deep Feature Extraction and Classification of Hyperspectral Images Based on Convolutional Neural Networks](https://scholariq.org/papers/deep-feature-extraction-and-classification-of-hyperspectral-images-based-on/)
- [Deep Recurrent Neural Networks for Hyperspectral Image Classification](https://scholariq.org/papers/deep-recurrent-neural-networks-for-hyperspectral-image-classification/)
- [SNUNet-CD: A Densely Connected Siamese Network for Change Detection of VHR Images](https://scholariq.org/papers/snunet-cd-a-densely-connected-siamese-network-for-change-detection-of-vhr-images/)
- [Support Vector Machine Versus Random Forest for Remote Sensing Image Classification: A Meta-Analysis and Systematic Review](https://scholariq.org/papers/support-vector-machine-versus-random-forest-for-remote-sensing-image/)
- [Advances in Hyperspectral Image and Signal Processing: A Comprehensive Overview of the State of the Art](https://scholariq.org/papers/advances-in-hyperspectral-image-and-signal-processing-a-comprehensive-overview/)
- [SpectralGPT: Spectral Remote Sensing Foundation Model](https://scholariq.org/papers/spectralgpt-spectral-remote-sensing-foundation-model/)
- [Large Selective Kernel Network for Remote Sensing Object Detection](https://scholariq.org/papers/large-selective-kernel-network-for-remote-sensing-object-detection/)
- [Generative Adversarial Networks for Hyperspectral Image Classification](https://scholariq.org/papers/generative-adversarial-networks-for-hyperspectral-image-classification/)
- [Advanced Spectral Classifiers for Hyperspectral Images: A review](https://scholariq.org/papers/advanced-spectral-classifiers-for-hyperspectral-images-a-review/)
- [Distributed solar photovoltaic array location and extent dataset for remote sensing object identification](https://scholariq.org/papers/distributed-solar-photovoltaic-array-location-and-extent-dataset-for-remote/)
- [Multiscale Dynamic Graph Convolutional Network for Hyperspectral Image Classification](https://scholariq.org/papers/multiscale-dynamic-graph-convolutional-network-for-hyperspectral-image/)
- [Feature Selection Based on Hybridization of Genetic Algorithm and Particle Swarm Optimization](https://scholariq.org/papers/feature-selection-based-on-hybridization-of-genetic-algorithm-and-particle-swarm/)
- [Classification of Hyperspectral and LiDAR Data Using Coupled CNNs](https://scholariq.org/papers/classification-of-hyperspectral-and-lidar-data-using-coupled-cnns/)
- [Change detection techniques for remote sensing applications: a survey](https://scholariq.org/papers/change-detection-techniques-for-remote-sensing-applications-a-survey/)
- [Satellite Image Time Series Analysis Under Time Warping](https://scholariq.org/papers/satellite-image-time-series-analysis-under-time-warping/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.