Fractional Fourier-Based Frequency-Spatial–Spectral Prototype Network for Agricultural Hyperspectral Image Open-Set Classification
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Shou Feng | Nan Su | Ran Tao | Wei Li | Chunhui Zhao | Maoyang Chen | Bo Qu
[1] Qingwang Wang,et al. Multispectral point cloud superpoint segmentation , 2024, Science China Technological Sciences.
[2] Renxiang Guan,et al. Pixel-Superpixel Contrastive Learning and Pseudo-Label Correction for Hyperspectral Image Clustering , 2023, ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
[3] Renxiang Guan,et al. Contrastive Multi-view Subspace Clustering of Hyperspectral Images based on Graph Convolutional Networks , 2023, ArXiv.
[4] Weiwei SUN,et al. Hyperspectral Image Classification With Multi-Attention Transformer and Adaptive Superpixel Segmentation-Based Active Learning , 2023, IEEE Transactions on Image Processing.
[5] Liguo Wang,et al. A Cross-Channel Dense Connection and Multi-Scale Dual Aggregated Attention Network for Hyperspectral Image Classification , 2023, Remote. Sens..
[6] Shutao Li,et al. Feature Consistency-Based Prototype Network for Open-Set Hyperspectral Image Classification. , 2023, IEEE transactions on neural networks and learning systems.
[7] Mohammed Q. Alkhatib,et al. Tri-CNN: A Three Branch Model for Hyperspectral Image Classification , 2023, Remote. Sens..
[8] Zhun-ga Liu,et al. Orientational Distribution Learning With Hierarchical Spatial Attention for Open Set Recognition , 2022, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[9] A. Plaza,et al. NSCKL: Normalized Spectral Clustering With Kernel-Based Learning for Semisupervised Hyperspectral Image Classification , 2022, IEEE Transactions on Cybernetics.
[10] Liu Yang,et al. Uncertainty-Aware Aggregation for Federated Open Set Domain Adaptation , 2022, IEEE Transactions on Neural Networks and Learning Systems.
[11] Shou Feng,et al. A Change Detection Method Based on Multi-Scale Adaptive Convolution Kernel Network and Multimodal Conditional Random Field for Multi-Temporal Multispectral Images , 2022, Remote. Sens..
[12] Leyuan Fang,et al. Spectral-Spatial Latent Reconstruction for Open-Set Hyperspectral Image Classification , 2022, IEEE Transactions on Image Processing.
[13] J. Chanussot,et al. Few-Shot Learning With Class-Covariance Metric for Hyperspectral Image Classification , 2022, IEEE Transactions on Image Processing.
[14] Wenzhi Liao,et al. Fractional Fourier Image Transformer for Multimodal Remote Sensing Data Classification , 2022, IEEE Transactions on Neural Networks and Learning Systems.
[15] Shou Feng,et al. Superpixel Guided Deformable Convolution Network for Hyperspectral Image Classification , 2022, IEEE Transactions on Image Processing.
[16] J. Chanussot,et al. Semisupervised Cross-Scale Graph Prototypical Network for Hyperspectral Image Classification , 2022, IEEE Transactions on Neural Networks and Learning Systems.
[17] Lianru Gao,et al. SpectralFormer: Rethinking Hyperspectral Image Classification With Transformers , 2021, IEEE Transactions on Geoscience and Remote Sensing.
[18] Ran Tao,et al. Fractional Gabor Convolutional Network for Multisource Remote Sensing Data Classification , 2021, IEEE Transactions on Geoscience and Remote Sensing.
[19] Chunhui Zhao,et al. A Hyperspectral Anomaly Detection Method Based on Low-Rank and Sparse Decomposition With Density Peak Guided Collaborative Representation , 2021, IEEE Transactions on Geoscience and Remote Sensing.
[20] Ran Tao,et al. Prior-Based Tensor Approximation for Anomaly Detection in Hyperspectral Imagery , 2020, IEEE Transactions on Neural Networks and Learning Systems.
[21] Ji Zhao,et al. WHU-Hi: UAV-borne hyperspectral with high spatial resolution (H2) benchmark datasets and classifier for precise crop identification based on deep convolutional neural network with CRF , 2020 .
[22] Liangpei Zhang,et al. Few-Shot Hyperspectral Image Classification With Unknown Classes Using Multitask Deep Learning , 2020, IEEE Transactions on Geoscience and Remote Sensing.
[23] Peijun Du,et al. An Improved Feature Set for Hyperspectral Image Classification: Harmonic Analysis Optimized by Multiscale Guided Filter , 2020, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.
[24] Yang Yang,et al. Classification of Hyperspectral Image Based on Double-Branch Dual-Attention Mechanism Network , 2019, Remote. Sens..
[25] Qian Du,et al. Hyperspectral Anomaly Detection by Fractional Fourier Entropy , 2019, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.
[26] Francesca Bovolo,et al. A Review of Change Detection in Multitemporal Hyperspectral Images: Current Techniques, Applications, and Challenges , 2019, IEEE Geoscience and Remote Sensing Magazine.
[27] Jon Atli Benediktsson,et al. Deep Learning for Hyperspectral Image Classification: An Overview , 2019, IEEE Transactions on Geoscience and Remote Sensing.
[28] Carola-Bibiane Schönlieb,et al. Superpixel Contracted Graph-Based Learning for Hyperspectral Image Classification , 2019, IEEE Transactions on Geoscience and Remote Sensing.
[29] Bidyut Baran Chaudhuri,et al. HybridSN: Exploring 3-D–2-D CNN Feature Hierarchy for Hyperspectral Image Classification , 2019, IEEE Geoscience and Remote Sensing Letters.
[30] Lifei Wei,et al. Mini-UAV-Borne Hyperspectral Remote Sensing: From Observation and Processing to Applications , 2018, IEEE Geoscience and Remote Sensing Magazine.
[31] Patrick Lambert,et al. 3-D Deep Learning Approach for Remote Sensing Image Classification , 2018, IEEE Transactions on Geoscience and Remote Sensing.
[32] Zhiming Luo,et al. Spectral–Spatial Residual Network for Hyperspectral Image Classification: A 3-D Deep Learning Framework , 2018, IEEE Transactions on Geoscience and Remote Sensing.
[33] Jon Atli Benediktsson,et al. Effective Denoising and Classification of Hyperspectral Images Using Curvelet Transform and Singular Spectrum Analysis , 2017, IEEE Transactions on Geoscience and Remote Sensing.
[34] Valero Laparra,et al. Regression Wavelet Analysis for Lossless Coding of Remote-Sensing Data , 2016, IEEE Transactions on Geoscience and Remote Sensing.
[35] Fan Zhang,et al. Deep Convolutional Neural Networks for Hyperspectral Image Classification , 2015, J. Sensors.
[36] Yicong Zhou,et al. Region-Kernel-Based Support Vector Machines for Hyperspectral Image Classification , 2015, IEEE Transactions on Geoscience and Remote Sensing.
[37] Li Ma,et al. Local Manifold Learning-Based $k$ -Nearest-Neighbor for Hyperspectral Image Classification , 2010, IEEE Transactions on Geoscience and Remote Sensing.
[38] Shou Feng,et al. An Object Fine-Grained Change Detection Method Based on Frequency Decoupling Interaction for High-Resolution Remote Sensing Images , 2024, IEEE Transactions on Geoscience and Remote Sensing.
[39] Bing Liu,et al. Spectral–Spatial MLP-Like Network With Reciprocal Points Learning for Open-Set Hyperspectral Image Classification , 2023, IEEE Transactions on Geoscience and Remote Sensing.
[40] L. Zhang,et al. MSDformer: Multiscale Deformable Transformer for Hyperspectral Image Super-Resolution , 2023, IEEE Transactions on Geoscience and Remote Sensing.
[41] Licheng Jiao,et al. Transformer-Based Masked Autoencoder With Contrastive Loss for Hyperspectral Image Classification , 2023, IEEE Transactions on Geoscience and Remote Sensing.
[42] Hongmin Gao,et al. AMSSE-Net: Adaptive Multiscale Spatial–Spectral Enhancement Network for Classification of Hyperspectral and LiDAR Data , 2023, IEEE Transactions on Geoscience and Remote Sensing.
[43] Yushi Chen,et al. Spectral–Spatial Masked Transformer With Supervised and Contrastive Learning for Hyperspectral Image Classification , 2023, IEEE Transactions on Geoscience and Remote Sensing.
[44] Qingwang Wang,et al. UTFNet: Uncertainty-Guided Trustworthy Fusion Network for RGB-Thermal Semantic Segmentation , 2023, IEEE Geoscience and Remote Sensing Letters.
[45] Weiwei SUN,et al. Category-Specific Prototype Self-Refinement Contrastive Learning for Few-Shot Hyperspectral Image Classification , 2023, IEEE Transactions on Geoscience and Remote Sensing.
[46] Wei Li,et al. Multiarea Target Attention for Hyperspectral Image Classification , 2023, IEEE Transactions on Geoscience and Remote Sensing.
[47] Pengfei Li,et al. ACGT-Net: Adaptive Cuckoo Refinement-Based Graph Transfer Network for Hyperspectral Image Classification , 2023, IEEE Transactions on Geoscience and Remote Sensing.
[48] A. Sharifi,et al. Crop Type Classification by DESIS Hyperspectral Imagery and Machine Learning Algorithms , 2023, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.
[49] Weiwei SUN,et al. Refined Prototypical Contrastive Learning for Few-Shot Hyperspectral Image Classification , 2023, IEEE Transactions on Geoscience and Remote Sensing.
[50] Wei Li,et al. Mask-Reconstruction-Based Decoupled Convolution Network for Hyperspectral Imagery Classification , 2023, IEEE Transactions on Geoscience and Remote Sensing.
[51] Weiwei SUN,et al. Two-Branch Attention Adversarial Domain Adaptation Network for Hyperspectral Image Classification , 2022, IEEE Transactions on Geoscience and Remote Sensing.
[52] Wenzhi Liao,et al. Cross-Domain Classification of Multisource Remote Sensing Data Using Fractional Fusion and Spatial-Spectral Domain Adaptation , 2022, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.
[53] Y. Zhong,et al. A Decomposition-Based Multiobjective Clonal Selection Algorithm for Hyperspectral Image Feature Selection , 2022, IEEE Transactions on Geoscience and Remote Sensing.
[54] N. Yokoya,et al. Masked Auto-Encoding Spectral–Spatial Transformer for Hyperspectral Image Classification , 2022, IEEE Transactions on Geoscience and Remote Sensing.
[55] Zebin Wu,et al. Spectral–Spatial Feature Tokenization Transformer for Hyperspectral Image Classification , 2022, IEEE Transactions on Geoscience and Remote Sensing.
[56] Shou Feng,et al. An Unsupervised Domain Adaptation Method Towards Multi-Level Features and Decision Boundaries for Cross-Scene Hyperspectral Image Classification , 2022, IEEE Transactions on Geoscience and Remote Sensing.
[57] Wei Li,et al. Spectral-Spatial Anomaly Detection via Collaborative Representation Constraint Stacked Autoencoders for Hyperspectral Images , 2021, IEEE Geoscience and Remote Sensing Letters.
[58] Naoto Yokoya,et al. Random Forest Ensembles and Extended Multiextinction Profiles for Hyperspectral Image Classification , 2018, IEEE Transactions on Geoscience and Remote Sensing.