Standout Papers
- Hyperspectral Unmixing Overview: Geometrical, Statistical, and Sparse Regression-Based Approaches (2012)
- Hyperspectral Remote Sensing Data Analysis and Future Challenges (2013)
- Graph Convolutional Networks for Hyperspectral Image Classification (2020)
- Recent advances in techniques for hyperspectral image processing (2009)
- SpectralFormer: Rethinking Hyperspectral Image Classification with\n Transformers (2021)
- Deep learning classifiers for hyperspectral imaging: A review (2019)
- Sparse Unmixing of Hyperspectral Data (2011)
- Advances in Hyperspectral Image and Signal Processing: A Comprehensive Overview of the State of the Art (2017)
- Land Surface Emissivity Retrieval From Different VNIR and TIR Sensors (2008)
- Spectral–Spatial Hyperspectral Image Segmentation Using Subspace Multinomial Logistic Regression and Markov Random Fields (2011)
- Total Variation Spatial Regularization for Sparse Hyperspectral Unmixing (2012)
- Advanced Spectral Classifiers for Hyperspectral Images: A review (2017)
- A new deep convolutional neural network for fast hyperspectral image classification (2017)
- SpectralGPT: Spectral Remote Sensing Foundation Model (2024)
- Deep Pyramidal Residual Networks for Spectral–Spatial Hyperspectral Image Classification (2018)
- Anomaly Detection in Hyperspectral Images Based on Low-Rank and Sparse Representation (2015)
- Semisupervised Hyperspectral Image Segmentation Using Multinomial Logistic Regression With Active Learning (2010)
- Generalized Composite Kernel Framework for Hyperspectral Image Classification (2013)
- Multisource Data Reconstruction-Based Deep Unsupervised Hashing for Unisource Remote Sensing Image Retrieval (2022)
- Big Data for Remote Sensing: Challenges and Opportunities (2016)
- BockNet: Blind-Block Reconstruction Network With a Guard Window for Hyperspectral Anomaly Detection (2023)
- Collaborative Sparse Regression for Hyperspectral Unmixing (2013)
- Multimodal Fusion Transformer for Remote Sensing Image Classification (2023)
- Spectral–Spatial Morphological Attention Transformer for Hyperspectral Image Classification (2023)
- A hybrid ensemble-based deep-learning framework for landslide susceptibility mapping (2022)
- BS3LNet: A New Blind-Spot Self-Supervised Learning Network for Hyperspectral Anomaly Detection (2023)
- Hyperspectral Image Classification Using Groupwise Separable Convolutional Vision Transformer Network (2024)
- GraphGST: Graph Generative Structure-Aware Transformer for Hyperspectral Image Classification (2024)
- Sliding Dual-Window-Inspired Reconstruction Network for Hyperspectral Anomaly Detection (2024)
- DAAN: A Deep Autoencoder-Based Augmented Network for Blind Multilinear Hyperspectral Unmixing (2024)
Immediate Impact
13 from Science/Nature 154 standout
Citing Papers
Hyperspectral Imaging and Deep Learning for Quality and Safety Inspection of Fruits and Vegetables: A Review
2025 Standout
A General Spatial-Frequency Learning Framework for Multimodal Image Fusion
2024 Standout
Works of Antonio Plaza being referenced
Mun-GAN: A Multiscale Unsupervised Network for Remote Sensing Image Pansharpening
2023
Morphological Convolutional Neural Networks for Hyperspectral Image Classification
2021
Author Peers
| Author | Last Decade | Papers | Cites | |||
|---|---|---|---|---|---|---|
| Antonio Plaza | 26309 | 14544 | 9903 | 539 | 33.8k | |
| Jocelyn Chanussot | 24582 | 9178 | 13289 | 467 | 31.7k | |
| Qian Du | 21942 | 11079 | 9219 | 565 | 28.4k | |
| Jón Atli Benediktsson | 21844 | 13973 | 7495 | 339 | 29.1k | |
| Lorenzo Bruzzone | 21412 | 13331 | 7246 | 680 | 32.1k | |
| Liangpei Zhang | 27552 | 13672 | 17449 | 684 | 43.6k | |
| Bo Du | 10498 | 5461 | 6903 | 468 | 18.3k | |
| Jun Li | 10711 | 6158 | 4563 | 570 | 16.7k | |
| Gustau Camps‐Valls | 8681 | 6961 | 3200 | 309 | 22.7k | |
| Licheng Jiao | 12525 | 4912 | 13086 | 1.5k | 35.1k | |
| Wei Li | 11575 | 5608 | 5965 | 542 | 17.4k |
All Works
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