Hongmin Gao

Orcid: 0000-0002-8404-2464

Affiliations:
  • Hohai University, College of Computer and Information, Nanjing, China


According to our database1, Hongmin Gao authored at least 73 papers between 2013 and 2024.

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Bibliography

2024
Rotated points for object detection in remote sensing images.
IET Image Process., May, 2024

A Path Planning Method for Collaborative Coverage Monitoring in Urban Scenarios.
Remote. Sens., April, 2024

A Spectral-Spatial Context-Boosted Network for Semantic Segmentation of Remote Sensing Images.
Remote. Sens., April, 2024

A dual-branch siamese spatial-spectral transformer attention network for Hyperspectral Image Change Detection.
Expert Syst. Appl., March, 2024

CSFFNet: Lightweight cross-scale feature fusion network for salient object detection in remote sensing images.
IET Image Process., February, 2024

Cognitive Fusion of Graph Neural Network and Convolutional Neural Network for Enhanced Hyperspectral Target Detection.
IEEE Trans. Geosci. Remote. Sens., 2024

Airborne Small Target Detection Method Based on Multimodal and Adaptive Feature Fusion.
IEEE Trans. Geosci. Remote. Sens., 2024

Information Entropy Estimation Based on Point-Set Topology for Hyperspectral Anomaly Detection.
IEEE Trans. Geosci. Remote. Sens., 2024

A Point-Set Topology-Based Information Entropy Estimation Method for Hyperspectral Target Detection.
IEEE Trans. Geosci. Remote. Sens., 2024

Multiscale Random-Shape Convolution and Adaptive Graph Convolution Fusion Network for Hyperspectral Image Classification.
IEEE Trans. Geosci. Remote. Sens., 2024

Interactive Enhanced Network Based on Multihead Self-Attention and Graph Convolution for Classification of Hyperspectral and LiDAR Data.
IEEE Trans. Geosci. Remote. Sens., 2024

TL2GH²T: Triple-Path Local-to-Global Network With Hybrid Head Transformer for Hyperspectral Change Detection.
IEEE Trans. Geosci. Remote. Sens., 2024

A Frequency Domain Feature-Guided Network for Semantic Segmentation of Remote Sensing Images.
IEEE Signal Process. Lett., 2024

A Spatial-Spectrum Fully Attention Network for Band Selection of Hyperspectral Images.
IEEE Geosci. Remote. Sens. Lett., 2024

A Cross-Domain Coupling Network for Semantic Segmentation of Remote Sensing Images.
IEEE Geosci. Remote. Sens. Lett., 2024

A CBAM-GAN-based method for super-resolution reconstruction of remote sensing image.
IET Image Process., 2024

A cross-modal feature aggregation and enhancement network for hyperspectral and LiDAR joint classification.
Expert Syst. Appl., 2024

Semi-supervised segmentation of hyperspectral pathological imagery based on shape priors and contrastive learning.
Biomed. Signal Process. Control., 2024

Information Entropy Estimation Based on Point-Set Topology for Hyperspectral Anomaly Detection.
Proceedings of the IGARSS 2024, 2024

2023
SSCNet: A Spectrum-Space Collaborative Network for Semantic Segmentation of Remote Sensing Images.
Remote. Sens., December, 2023

Local aggregation and global attention network for hyperspectral image classification with spectral-induced aligned superpixel segmentation.
Expert Syst. Appl., December, 2023

Semi-supervised enhanced discriminative local constraint preserving projection for dimensionality reduction of medical hyperspectral images.
Comput. Biol. Medicine, December, 2023

Unsupervised dimensionality reduction of medical hyperspectral imagery in tensor space.
Comput. Methods Programs Biomed., October, 2023

A high-level feature channel attention UNet network for cholangiocarcinoma segmentation from microscopy hyperspectral images.
Mach. Vis. Appl., September, 2023

Multimodal Transformer Network for Hyperspectral and LiDAR Classification.
IEEE Trans. Geosci. Remote. Sens., 2023

Information Retrieval With Chessboard-Shaped Topology for Hyperspectral Target Detection.
IEEE Trans. Geosci. Remote. Sens., 2023

Hyperspectral Target Detection via Spectral Aggregation and Separation Network With Target Band Random Mask.
IEEE Trans. Geosci. Remote. Sens., 2023

AMSSE-Net: Adaptive Multiscale Spatial-Spectral Enhancement Network for Classification of Hyperspectral and LiDAR Data.
IEEE Trans. Geosci. Remote. Sens., 2023

A Multidepth and Multibranch Network for Hyperspectral Target Detection Based on Band Selection.
IEEE Trans. Geosci. Remote. Sens., 2023

LWCCNet: Lightweight Remote Sensing Change Detection Network Based on Composite Convolution Operator.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023

Anomaly Detection Based on Tree Topology for Hyperspectral Images.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023

Depthwise Separable Convolutional Autoencoders for Hyperspectral Image Change Detection.
IEEE Geosci. Remote. Sens. Lett., 2023

Adaptively Dictionary Construction for Hyperspectral Target Detection.
IEEE Geosci. Remote. Sens. Lett., 2023

Grid Network: Feature Extraction in Anisotropic Perspective for Hyperspectral Image Classification.
IEEE Geosci. Remote. Sens. Lett., 2023

Hyperspectral Image Classification Method Based on Narrowing Semantic Gap Convolutional Neural Network.
Proceedings of the 13th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing, 2023

A Method and System for Power Grid Engineering Error Diagnosis Based on Improved Graph Convolutional Networks.
Proceedings of the 16th International Congress on Image and Signal Processing, 2023

2022
Global to Local: A Hierarchical Detection Algorithm for Hyperspectral Image Target Detection.
IEEE Trans. Geosci. Remote. Sens., 2022

Shallow Network Based on Depthwise Overparameterized Convolution for Hyperspectral Image Classification.
IEEE Geosci. Remote. Sens. Lett., 2022

Multiscale spectral-spatial cross-extraction network for hyperspectral image classification.
IET Image Process., 2022

Adaptive spectral-spatial feature fusion network for hyperspectral image classification using limited training samples.
Int. J. Appl. Earth Obs. Geoinformation, 2022

Exploring the Collaboration Between Convolutional Neural Networks and Transformers in Hyperspectral Image Classification.
Proceedings of the 12th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing, 2022

A learning rate optimization method for model convergence of hyperspectral image classification.
Proceedings of the 15th International Congress on Image and Signal Processing, 2022

2021
Multiscale Residual Network With Mixed Depthwise Convolution for Hyperspectral Image Classification.
IEEE Trans. Geosci. Remote. Sens., 2021

A Multiscale Dual-Branch Feature Fusion and Attention Network for Hyperspectral Images Classification.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021

Dynamic Data Augmentation Method for Hyperspectral Image Classification Based on Siamese Structure.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021

Densely Connected Multiscale Attention Network for Hyperspectral Image Classification.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021

Hierarchical Shrinkage Multiscale Network for Hyperspectral Image Classification With Hierarchical Feature Fusion.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021

Sandwich Convolutional Neural Network for Hyperspectral Image Classification Using Spectral Feature Enhancement.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021

Hybridizing Cross-Level Contextual and Attentive Representations for Remote Sensing Imagery Semantic Segmentation.
Remote. Sens., 2021

Shallow Network Based on Depthwise Over-Parameterized Convolution for Hyperspectral Image Classification.
CoRR, 2021

2020
An Efficient Building Extraction Method from High Spatial Resolution Remote Sensing Images Based on Improved Mask R-CNN.
Sensors, 2020

Spatial-temporal multi-task learning for salient region detection.
Pattern Recognit. Lett., 2020

Composite Clustering Sampling Strategy for Multiscale Spectral-Spatial Classification of Hyperspectral Images.
J. Sensors, 2020

Multiscale 3-D-CNN based on spatial-spectral joint feature extraction for hyperspectral remote sensing images classification.
J. Electronic Imaging, 2020

Underwater salient object detection by combining 2D and 3D visual features.
Neurocomputing, 2020

2019
Deep Belief Network for Spectral-Spatial Classification of Hyperspectral Remote Sensor Data.
Sensors, 2019

Dimension Reduction for Hyperspectral Remote Sensor Data Based on Multi-Objective Particle Swarm Optimization Algorithm and Game Theory.
Sensors, 2019

A Hyperspectral Image Classification Method Based on Multi-Discriminator Generative Adversarial Networks.
Sensors, 2019

Application of Hyperspectral Image Classification Based on Overlap Pooling.
Neural Process. Lett., 2019

Convolutional neural network for spectral-spatial classification of hyperspectral images.
Neural Comput. Appl., 2019

Multi-branch fusion network for hyperspectral image classification.
Knowl. Based Syst., 2019

High-Resolution Remote Sensing Image Segmentation method based on Srelu.
Int. J. Robotics Autom., 2019

Segmentation method of High-Resolution Remote Sensing Image for Fast target Recognition.
Int. J. Robotics Autom., 2019

Hyperspectral Image Classification With Pre-Activation Residual Attention Network.
IEEE Access, 2019

2018
A Band Selection Method for Hyperspectral Image Based on Particle Swarm Optimization Algorithm with Dynamic Sub-Swarms.
J. Signal Process. Syst., 2018

Hyperspectral Remote Sensing Image Classification Based on Maximum Overlap Pooling Convolutional Neural Network.
Sensors, 2018

Grey Model Optimized by Particle Swarm Optimization for Data Analysis and Application of Multi-Sensors.
Sensors, 2018

Domain Adaptation and Adaptive Information Fusion for Object Detection on Foggy Days.
Sensors, 2018

Convolution Neural Network Based on Two-Dimensional Spectrum for Hyperspectral Image Classification.
J. Sensors, 2018

Joint Alternate Small Convolution and Feature Reuse for Hyperspectral Image Classification.
ISPRS Int. J. Geo Inf., 2018

2017
Research on Fault Diagnosis for Pumping Station Based on T-S Fuzzy Fault Tree and Bayesian Network.
J. Electr. Comput. Eng., 2017

2014
Fusion Method for Remote Sensing Image Based on Fuzzy Integral.
J. Electr. Comput. Eng., 2014

2013
A method of hyperspectral image classification based on posterior probability SVM and MRF.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2013


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