A method of hyperspectral image classification based on posterior probability SVM and MRF. - Hongmin Gao 001; Mengxi Xu; Ming-Gang Xu; Xin Wang; Fengchen Huang (ICMLC, 2013)

Fusion Method for Remote Sensing Image Based on Fuzzy Integral. - Hui Zhou 003; Hongmin Gao 001 (J. Electr. Comput. Eng., 2014)

Research on Fault Diagnosis for Pumping Station Based on T-S Fuzzy Fault Tree and Bayesian Network. - Zhuqing Bi; Chenming Li; Xujie Li 001; Hongmin Gao 001 (J. Electr. Comput. Eng., 2017)

Joint Alternate Small Convolution and Feature Reuse for Hyperspectral Image Classification. - Hongmin Gao 001; Yao Yang; Chenming Li; Hui Zhou 003; Xiaoyu Qu (ISPRS Int. J. Geo Inf., 2018)

Convolution Neural Network Based on Two-Dimensional Spectrum for Hyperspectral Image Classification. - Hongmin Gao 001; Shuo Lin; Yao Yang; Chenming Li; Mingxiang Yang (J. Sensors, 2018)

Domain Adaptation and Adaptive Information Fusion for Object Detection on Foggy Days. - Zhe Chen 004; Xiaofang Li; Hao Zheng; Hongmin Gao 001; Huibin Wang (Sensors, 2018)

Grey Model Optimized by Particle Swarm Optimization for Data Analysis and Application of Multi-Sensors. - Chenming Li; Hongmin Gao 001; Junlin Qiu; Yao Yang; Xiaoyu Qu; Yongchang Wang; Zhuqing Bi (Sensors, 2018)

Hyperspectral Remote Sensing Image Classification Based on Maximum Overlap Pooling Convolutional Neural Network. - Chenming Li; Simon X. Yang; Yao Yang; Hongmin Gao 001; Jia Zhao 001; Xiaoyu Qu; Yongchang Wang; Dan Yao; Jianbing Gao (Sensors, 2018)

A Band Selection Method for Hyperspectral Image Based on Particle Swarm Optimization Algorithm with Dynamic Sub-Swarms. - Mengxi Xu; Jianqiang Shi; Wei Chen; Jie Shen 004; Hongmin Gao 001; Jia Zhao 001 (J. Signal Process. Syst., 2018)

Hyperspectral Image Classification With Pre-Activation Residual Attention Network. - Hongmin Gao 001; Yao Yang; Dan Yao; Chenming Li (IEEE Access, 2019)

Segmentation method of High-Resolution Remote Sensing Image for Fast target Recognition. - Chenming Li; Hongmin Gao 001; Yao Yang; Xiaoyu Qu; Wenjing Yuan (Int. J. Robotics Autom., 2019)

High-Resolution Remote Sensing Image Segmentation method based on Srelu. - Chenming Li; Xiaoyu Qu; Yao Yang; Hongmin Gao 001; Yongchang Wang; Dan Yao; Wenjing Yuan (Int. J. Robotics Autom., 2019)

Multi-branch fusion network for hyperspectral image classification. - Hongmin Gao 001; Yao Yang; Sheng Lei; Chenming Li; Hui Zhou 003; Xiaoyu Qu (Knowl. Based Syst., 2019)

Convolutional neural network for spectral-spatial classification of hyperspectral images. - Hongmin Gao 001; Yao Yang; Chenming Li; Xiaoke Zhang; Jia Zhao 001; Dan Yao (Neural Comput. Appl., 2019)

Application of Hyperspectral Image Classification Based on Overlap Pooling. - Hongmin Gao 001; Shuo Lin; Chenming Li; Yao Yang (Neural Process. Lett., 2019)

A Hyperspectral Image Classification Method Based on Multi-Discriminator Generative Adversarial Networks. - Hongmin Gao 001; Dan Yao; Mingxia Wang; Chenming Li; Haiyun Liu; Zaijun Hua; Jiawei Wang (Sensors, 2019)

Dimension Reduction for Hyperspectral Remote Sensor Data Based on Multi-Objective Particle Swarm Optimization Algorithm and Game Theory. - Hongmin Gao 001; Yao Yang; Xiaoke Zhang; Chenming Li; Qi Yang; Yongchang Wang (Sensors, 2019)

Deep Belief Network for Spectral-Spatial Classification of Hyperspectral Remote Sensor Data. - Chenming Li; Yongchang Wang; Xiaoke Zhang; Hongmin Gao 001; Yao Yang; Jiawei Wang (Sensors, 2019)

Underwater salient object detection by combining 2D and 3D visual features. - Zhe Chen 004; Hongmin Gao 001; Zhen Zhang 019; Helen Zhou; Xun Wang 007; Yan Tian (Neurocomputing, 2020)

Multiscale 3-D-CNN based on spatial-spectral joint feature extraction for hyperspectral remote sensing images classification. - Hongmin Gao 001; Dan Yao; Yao Yang; Chenming Li; Haiyun Liu; Zaijun Hua (J. Electronic Imaging, 2020)

Composite Clustering Sampling Strategy for Multiscale Spectral-Spatial Classification of Hyperspectral Images. - Chenming Li; Xiaoyu Qu; Yao Yang; Dan Yao; Hongmin Gao 001; Zaijun Hua (J. Sensors, 2020)

Spatial-temporal multi-task learning for salient region detection. - Zhe Chen 004; Ruili Wang; Ming Yu 001; Hongmin Gao 001; Qi Li; Huibin Wang (Pattern Recognit. Lett., 2020)

An Efficient Building Extraction Method from High Spatial Resolution Remote Sensing Images Based on Improved Mask R-CNN. - Lili Zhang 002; Jisen Wu; Yu Fan; Hongmin Gao 001; Yehong Shao (Sensors, 2020)

Shallow Network Based on Depthwise Over-Parameterized Convolution for Hyperspectral Image Classification. - Hongmin Gao 001; Zhonghao Chen; Chenming Li (CoRR, 2021)

Hybridizing Cross-Level Contextual and Attentive Representations for Remote Sensing Imagery Semantic Segmentation. - Xin Li 090; Feng Xu 008; Runliang Xia; Xin Lyu 001; Hongmin Gao 001; Yao Tong (Remote. Sens., 2021)

Sandwich Convolutional Neural Network for Hyperspectral Image Classification Using Spectral Feature Enhancement. - Hongmin Gao 001; Zhonghao Chen; Chenming Li (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021)

Hierarchical Shrinkage Multiscale Network for Hyperspectral Image Classification With Hierarchical Feature Fusion. - Hongmin Gao 001; Zhonghao Chen; Chenming Li (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021)

Densely Connected Multiscale Attention Network for Hyperspectral Image Classification. - Hongmin Gao 001; Yawen Miao; Xueying Cao; Chenming Li (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021)

Dynamic Data Augmentation Method for Hyperspectral Image Classification Based on Siamese Structure. - Hongmin Gao 001; Junpeng Zhang 004; Xueying Cao; Zhonghao Chen; Yiyan Zhang; Chenming Li (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021)

A Multiscale Dual-Branch Feature Fusion and Attention Network for Hyperspectral Images Classification. - Hongmin Gao 001; Yiyan Zhang; Zhonghao Chen; Chenming Li (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021)

Multiscale Residual Network With Mixed Depthwise Convolution for Hyperspectral Image Classification. - Hongmin Gao 001; Yao Yang; Chenming Li; Lianru Gao; Bing Zhang 001 (IEEE Trans. Geosci. Remote. Sens., 2021)

A learning rate optimization method for model convergence of hyperspectral image classification. - Chenming Li; Sikang Yao; Hongmin Gao 001; Yunfei Zhang (CISP-BMEI, 2022)

Exploring the Collaboration Between Convolutional Neural Networks and Transformers in Hyperspectral Image Classification. - Hongmin Gao 001; Yiyan Zhang; Zhonghao Chen; Hongyi Wu; Weibo Zhang; Chenming Li (WHISPERS, 2022)

Adaptive spectral-spatial feature fusion network for hyperspectral image classification using limited training samples. - Hongmin Gao 001; Zhonghao Chen; Feng Xu 008 (Int. J. Appl. Earth Obs. Geoinformation, 2022)

Multiscale spectral-spatial cross-extraction network for hyperspectral image classification. - Hongmin Gao 001; Hongyi Wu; Zhonghao Chen; Yunfei Zhang; Yiyan Zhang; Chenming Li (IET Image Process., 2022)

Shallow Network Based on Depthwise Overparameterized Convolution for Hyperspectral Image Classification. - Hongmin Gao 001; Zhonghao Chen; Chenming Li (IEEE Geosci. Remote. Sens. Lett., 2022)

Global to Local: A Hierarchical Detection Algorithm for Hyperspectral Image Target Detection. - Zhonghao Chen; Zhengtao Lu; Hongmin Gao 001; Yiyan Zhang; Jia Zhao 001; Danfeng Hong; Bing Zhang 001 (IEEE Trans. Geosci. Remote. Sens., 2022)

A Method and System for Power Grid Engineering Error Diagnosis Based on Improved Graph Convolutional Networks. - Shoukui Zhang; Hongmin Gao 001; Xin Shan; Haiwei Wu; Shiming Sun (CISP-BMEI, 2023)

Hyperspectral Image Classification Method Based on Narrowing Semantic Gap Convolutional Neural Network. - Shufang Xu; Sijie Geng; Tingting Fan; Chenming Li; Hongmin Gao 001 (WHISPERS, 2023)

Grid Network: Feature Extraction in Anisotropic Perspective for Hyperspectral Image Classification. - Zhonghao Chen; Danfeng Hong; Hongmin Gao 001 (IEEE Geosci. Remote. Sens. Lett., 2023)

Adaptively Dictionary Construction for Hyperspectral Target Detection. - Chenming Li; Weibo Zhang; Yiyan Zhang; Zhonghao Chen; Hongmin Gao 001 (IEEE Geosci. Remote. Sens. Lett., 2023)

Depthwise Separable Convolutional Autoencoders for Hyperspectral Image Change Detection. - Yiyan Zhang; Yongfeng Zhou; Shufang Xu; Danfeng Hong; Hongmin Gao 001; Chenming Li; Qiqiang Zhong; Bing Zhang 001 (IEEE Geosci. Remote. Sens. Lett., 2023)

Anomaly Detection Based on Tree Topology for Hyperspectral Images. - Xiaotong Sun; Bing Zhang 001; Lina Zhuang; Hongmin Gao 001; Xu Sun 005; Li Ni (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023)

LWCCNet: Lightweight Remote Sensing Change Detection Network Based on Composite Convolution Operator. - Longbao Wang; Dongyu Gao; Xin Li 090; Xiaodan Tang; Xinyi Zhao; Hongmin Gao 001 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023)

A Multidepth and Multibranch Network for Hyperspectral Target Detection Based on Band Selection. - Hongmin Gao 001; Yitong Zhang; Zhonghao Chen; Shufang Xu; Danfeng Hong; Bing Zhang 001 (IEEE Trans. Geosci. Remote. Sens., 2023)

AMSSE-Net: Adaptive Multiscale Spatial-Spectral Enhancement Network for Classification of Hyperspectral and LiDAR Data. - Hongmin Gao 001; Hao Feng; Yiyan Zhang; Shufang Xu; Bing Zhang 001 (IEEE Trans. Geosci. Remote. Sens., 2023)

Hyperspectral Target Detection via Spectral Aggregation and Separation Network With Target Band Random Mask. - Hongmin Gao 001; Yitong Zhang; Zhonghao Chen; Feng Xu 008; Danfeng Hong; Bing Zhang 001 (IEEE Trans. Geosci. Remote. Sens., 2023)

Information Retrieval With Chessboard-Shaped Topology for Hyperspectral Target Detection. - Xiaotong Sun; Lina Zhuang; Lianru Gao; Hongmin Gao 001; Xu Sun 005; Bing Zhang 001 (IEEE Trans. Geosci. Remote. Sens., 2023)

Multimodal Transformer Network for Hyperspectral and LiDAR Classification. - Yiyan Zhang; Shufang Xu; Danfeng Hong; Hongmin Gao 001; Chenkai Zhang; Meiqiao Bi; Chenming Li (IEEE Trans. Geosci. Remote. Sens., 2023)

A high-level feature channel attention UNet network for cholangiocarcinoma segmentation from microscopy hyperspectral images. - Hongmin Gao 001; Mengran Yang; Xueying Cao; Qin Liu; Peipei Xu (Mach. Vis. Appl., 2023)

Unsupervised dimensionality reduction of medical hyperspectral imagery in tensor space. - Hongmin Gao 001; Meiling Wang; Xinyu Sun; Xueying Cao; Chenming Li; Qin Liu; Peipei Xu (Comput. Methods Programs Biomed., 2023)

Semi-supervised enhanced discriminative local constraint preserving projection for dimensionality reduction of medical hyperspectral images. - Hongmin Gao 001; Mengran Yang; Xueying Cao; Qin Liu; Peipei Xu (Comput. Biol. Medicine, 2023)

Local aggregation and global attention network for hyperspectral image classification with spectral-induced aligned superpixel segmentation. - Zhonghao Chen; Guoyong Wu; Hongmin Gao 001; Yao Ding 010; Danfeng Hong; Bing Zhang 001 (Expert Syst. Appl., 2023)

SSCNet: A Spectrum-Space Collaborative Network for Semantic Segmentation of Remote Sensing Images. - Xin Li 090; Feng Xu 008; Xi Yong; Deqing Chen; Runliang Xia; Baoliu Ye; Hongmin Gao 001; Ziqi Chen; Xin Lyu 001 (Remote. Sens., 2023)

Information Entropy Estimation Based on Point-Set Topology for Hyperspectral Anomaly Detection. - Xiaotong Sun; Lina Zhuang; Lianru Gao; Hongmin Gao 001; Xu Sun 005; Yi Liu; Yao Liu 012; Bing Zhang 001 (IGARSS, 2024)

Semi-supervised segmentation of hyperspectral pathological imagery based on shape priors and contrastive learning. - Hongmin Gao 001; Huaiyuan Wang; Lanxin Chen; Xueying Cao; Min Zhu; Peipei Xu (Biomed. Signal Process. Control., 2024)

Hyperspectral Image Cross-Domain Object Detection Method based on Spectral-Spatial Feature Alignment. - Hongqi Zhang; He Sun 009; Hongmin Gao 001; Feng Han; Xu Sun 005; Lianru Gao; Bing Zhang 001 (CoRR, 2024)

A cross-modal feature aggregation and enhancement network for hyperspectral and LiDAR joint classification. - Yiyan Zhang; Hongmin Gao 001; Jun Zhou 001; Chenkai Zhang; Pedram Ghamisi; Shufang Xu; Chenming Li; Bing Zhang 001 (Expert Syst. Appl., 2024)

A CBAM-GAN-based method for super-resolution reconstruction of remote sensing image. - Longbao Wang; Qing Yu; Xin Li 090; Hui Zeng; Hailong Zhang; Hongmin Gao 001 (IET Image Process., 2024)

A Cross-Domain Coupling Network for Semantic Segmentation of Remote Sensing Images. - Xin Li 090; Feng Xu 008; Feifei Tao; Yao Tong; Hongmin Gao 001; Fan Liu 003; Ziqi Chen; Xin Lyu 001 (IEEE Geosci. Remote. Sens. Lett., 2024)

A Spatial-Spectrum Fully Attention Network for Band Selection of Hyperspectral Images. - Hongqi Zhang; Hongmin Gao 001; He Sun 009; Xu Sun 005; Bing Zhang 001 (IEEE Geosci. Remote. Sens. Lett., 2024)

A Frequency Domain Feature-Guided Network for Semantic Segmentation of Remote Sensing Images. - Xin Li 090; Feng Xu 008; Hongmin Gao 001; Fan Liu 003; Xin Lyu 001 (IEEE Signal Process. Lett., 2024)

TL2GH²T: Triple-Path Local-to-Global Network With Hybrid Head Transformer for Hyperspectral Change Detection. - Zhonghao Chen; Yuyang Wang; Swalpa Kumar Roy; Hongmin Gao 001; Yao Ding 010; Xiongwu Xiao; Zhenfeng Shao; Bing Zhang 001 (IEEE Trans. Geosci. Remote. Sens., 2024)

Interactive Enhanced Network Based on Multihead Self-Attention and Graph Convolution for Classification of Hyperspectral and LiDAR Data. - Hongmin Gao 001; Hao Feng; Yiyan Zhang; Shuyu Fei; Runhua Sheng; Shufang Xu; Bing Zhang 001 (IEEE Trans. Geosci. Remote. Sens., 2024)

Multiscale Random-Shape Convolution and Adaptive Graph Convolution Fusion Network for Hyperspectral Image Classification. - Hongmin Gao 001; Runhua Sheng; Zhonghao Chen; Haiyun Liu; Shufang Xu; Bing Zhang 001 (IEEE Trans. Geosci. Remote. Sens., 2024)

A Point-Set Topology-Based Information Entropy Estimation Method for Hyperspectral Target Detection. - Xiaotong Sun; Lina Zhuang; Lianru Gao; Hongmin Gao 001; Xu Sun 005; Bing Zhang 001 (IEEE Trans. Geosci. Remote. Sens., 2024)

Information Entropy Estimation Based on Point-Set Topology for Hyperspectral Anomaly Detection. - Xiaotong Sun; Lina Zhuang; Lianru Gao; Hongmin Gao 001; Xu Sun 005; Bing Zhang 001 (IEEE Trans. Geosci. Remote. Sens., 2024)

Airborne Small Target Detection Method Based on Multimodal and Adaptive Feature Fusion. - Shufang Xu; Xu Chen; Haiwei Li; Tianci Liu 007; Zhonghao Chen; Hongmin Gao 001; Yiyan Zhang (IEEE Trans. Geosci. Remote. Sens., 2024)

Dual-Feature Attention-Based Contrastive Prototypical Clustering for Multimodal Remote Sensing Data. - Shufang Xu; Xinchen Ding; Yiyan Zhang; Zhen Zhang 019; Hongmin Gao 001; Bing Zhang 001 (IEEE Trans. Geosci. Remote. Sens., 2024)

Cognitive Fusion of Graph Neural Network and Convolutional Neural Network for Enhanced Hyperspectral Target Detection. - Shufang Xu; Sijie Geng; Pengfei Xu; Zhonghao Chen; Hongmin Gao 001 (IEEE Trans. Geosci. Remote. Sens., 2024)

Strengthened Residual Graph and Multiscale Gated Guided Convolutional Fusion Network for Hyperspectral Change Detection. - Shufang Xu; Xiangfei Xia; Haiwei Li; Yiyan Zhang; Runhua Sheng; Hongmin Gao 001; Bing Zhang 001 (IEEE Trans. Geosci. Remote. Sens., 2024)

Spectral-Spatial Out-of-Distribution-Based Unsupervised Band Selection Method for Hyperspectral Anomaly Detection. - Hongqi Zhang; He Sun 009; Xu Sun 005; Hongmin Gao 001; Lianru Gao; Bing Zhang 001 (IEEE Trans. Geosci. Remote. Sens., 2024)

CSFFNet: Lightweight cross-scale feature fusion network for salient object detection in remote sensing images. - Longbao Wang; Chong Long; Xin Li 090; Xiaodan Tang; Zhipeng Bai; Hongmin Gao 001 (IET Image Process., 2024)

A dual-branch siamese spatial-spectral transformer attention network for Hyperspectral Image Change Detection. - Yiyan Zhang; Tingting Wang; Chenkai Zhang; Shufang Xu; Hongmin Gao 001; Chenming Li (Expert Syst. Appl., 2024)

A Spectral-Spatial Context-Boosted Network for Semantic Segmentation of Remote Sensing Images. - Xin Li 090; Xi Yong; Tao Li 065; Yao Tong; Hongmin Gao 001; Xinyuan Wang 002; Zhennan Xu; Yiwei Fang; Qian You; Xin Lyu 001 (Remote. Sens., 2024)

A Path Planning Method for Collaborative Coverage Monitoring in Urban Scenarios. - Shufang Xu; Ziyun Zhou; Haiyun Liu; Xuejie Zhang; Jianni Li; Hongmin Gao 001 (Remote. Sens., 2024)

Rotated points for object detection in remote sensing images. - Longbao Wang; Yican Shen; Jin Yang; Hui Zeng; Hongmin Gao 001 (IET Image Process., 2024)

MKGFA: Multimodal Knowledge Graph Construction and Fact-Assisted Reasoning for VQA. - Longbao Wang; Jinhao Zhang; Libing Zhang; Shuai Zhang; Shufang Xu; Lin Yu; Hongmin Gao 001 (Int. J. Comput. Intell. Appl., 2025)

Dual-domain decoupled fusion network for semantic segmentation of remote sensing images. - Xin Li 090; Feng Xu 008; Jue Zhang; Anzhu Yu; Xin Lyu 001; Hongmin Gao 001; Jun Zhou 001 (Inf. Fusion, 2025)

MDA-HTD: Mask-driven dual autoencoders meet hyperspectral target detection. - Zhonghao Chen; Hongmin Gao 001; Zhengtao Lu; Yiyan Zhang; Yao Ding 010; Xin Li 090; Bing Zhang 001 (Inf. Process. Manag., 2025)

A Parameter-Free Topological Disassembly-Guided Method for Hyperspectral Target Detection. - Xiaotong Sun; Liming Jiang 002; Lianru Gao; Hongmin Gao 001; Xu Sun 005; Bing Zhang 001 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025)

A Euclidean Affinity-Augmented Hyperbolic Neural Network for Semantic Segmentation of Remote Sensing Images. - Xin Li 090; Feng Xu 008; Fan Liu 003; Xin Lyu 001; Hongmin Gao 001; Jun Zhou 011; André Kaup (IEEE Trans. Geosci. Remote. Sens., 2025)

A Frequency Decoupling Network for Semantic Segmentation of Remote Sensing Images. - Xin Li 090; Feng Xu 008; Anzhu Yu; Xin Lyu 001; Hongmin Gao 001; Jun Zhou 001 (IEEE Trans. Geosci. Remote. Sens., 2025)

Adaptive multi-stage fusion of hyperspectral and LiDAR data via selective state space models. - Yiyan Zhang; Hongmin Gao 001; Zhonghao Chen; Shuyu Fei; Jun Zhou 001; Pedram Ghamisi; Bing Zhang 001 (Inf. Fusion, 2026)

E-Mamba: Efficient Mamba network for hyperspectral and LiDAR joint classification. - Yiyan Zhang; Hongmin Gao 001; Zhonghao Chen; Chenkai Zhang; Pedram Ghamisi; Bing Zhang 001 (Inf. Fusion, 2026)