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2020 – today
- 2025
[j26]Haoyi Wang, Weitao Chen, Xianju Li, Qianyong Liang, Xuwen Qin, Jun Li:
CUG-STCN: A seabed topography classification framework based on knowledge graph-guided vision mamba network. Int. J. Appl. Earth Obs. Geoinformation 136: 104383 (2025)- 2024
- [j25]Wei Feng
, Minhui Wang, Chang Tang, Weiying Xie, Xianju Li, Xiao Zheng, Jiangfeng Xu:
Hyperspectral band selection via region-wise latent feature fusion and graph filter embedded subspace clustering. Eng. Appl. Artif. Intell. 132: 107911 (2024) - [j24]Yuqian Zhu, Weitao Chen, Wenxi He, Ruizhen Wang, Xianju Li, Lizhe Wang:
CUG_MISDataset: A Remote Sensing Instance Segmentation Dataset for Improved Wide-Area High-Precision Mining Land Occupation Recognition. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17: 16476-16486 (2024) - [j23]Renxiang Guan, Zihao Li, Wenxuan Tu, Jun Wang, Yue Liu, Xianju Li, Chang Tang, Ruyi Feng:
Contrastive Multiview Subspace Clustering of Hyperspectral Images Based on Graph Convolutional Networks. IEEE Trans. Geosci. Remote. Sens. 62: 1-14 (2024) - [j22]Zhenglai Li, Chang Tang, Xinwang Liu, Changdong Li, Xianju Li, Wei Zhang:
MS-Former: Memory-Supported Transformer for Weakly Supervised Change Detection With Patch-Level Annotations. IEEE Trans. Geosci. Remote. Sens. 62: 1-13 (2024) - [c10]Renxiang Guan, Zihao Li, Xianju Li, Chang Tang:
Pixel-Superpixel Contrastive Learning and Pseudo-Label Correction for Hyperspectral Image Clustering. ICASSP 2024: 6795-6799 - [c9]Junhong Li, Renxiang Guan, Yuhang Han, Yaowen Hu, Zihao Li, Yanyan Wu, Ziwei Xu, Xianju Li:
Superpixel-Based Dual-Neighborhood Contrastive Graph Autoencoder for Deep Subspace Clustering of Hyperspectral Image. ICIC (6) 2024: 181-192 - [c8]Renxiang Guan, Zihao Li, Chujia Song, Guo Yu, Xianju Li, Ruyi Feng:
S2RC-GCN: A Spatial-Spectral Reliable Contrastive Graph Convolutional Network for Complex Land Cover Classification Using Hyperspectral Images. IJCNN 2024: 1-8 - [c7]Xianju Li, Cong Cheng, Wenxi He, Weitao Chen:
Fusion of Attention-Based Cascaded CNN and Label Dependency-Based GCN for Multi-label Scene Classification of Mining Land. IJCNN 2024: 1-8 - [c6]Jingxin Wang, Renxiang Guan, Kainan Gao, Zihao Li, Hao Li, Xianju Li, Chang Tang:
Multi-level Graph Subspace Contrastive Learning for Hyperspectral Image Clustering. IJCNN 2024: 1-8 - [c5]Han Hu, Zhenhui Liu, Ziqing Xu, Haoyi Wang, Xianju Li, Xu Han, Jianyi Peng:
Spectral-Spatial Blockwise Masked Transformer With Contrastive Multi-View Learning for Hyperspectral Image Classification. PRCV (4) 2024: 481-495 - [c4]Yao Li, Haoyi Wang, Xianju Li, Jian Feng, Huijun Ding, Yiran Chang, Xiaokai Zhang, Jianyi Peng:
Feature Exchange and Distribution-Based Mining Land Detection Method by Multispectral Imagery. PRCV (13) 2024: 559-573 - [i7]Xianju Li, Renxiang Guan, Zihao Li, Hao Liu, Jing Yang:
Multiview Subspace Clustering of Hyperspectral Images based on Graph Convolutional Networks. CoRR abs/2403.01465 (2024) - [i6]Renxiang Guan, Zihao Li, Chujia Song, Guo Yu, Xianju Li, Ruyi Feng:
S2RC-GCN: A Spatial-Spectral Reliable Contrastive Graph Convolutional Network for Complex Land Cover Classification Using Hyperspectral Images. CoRR abs/2404.00964 (2024) - [i5]Jingxin Wang, Renxiang Guan, Kainan Gao, Zihao Li, Hao Li, Xianju Li, Chang Tang:
Multi-level Graph Subspace Contrastive Learning for Hyperspectral Image Clustering. CoRR abs/2404.05211 (2024) - 2023
- [j21]Haoyi Wang, Xianju Li, Gaodian Zhou, Weitao Chen, Lizhe Wang:
Edge Enhanced Channel Attention-Based Graph Convolution Network for Scene Classification of Complex Landscapes. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 16: 3831-3849 (2023) - [j20]Chang Tang, Jun Wang, Xiao Zheng, Xinwang Liu, Weiying Xie, Xianju Li, Xinzhong Zhu:
Spatial and Spectral Structure Preserved Self-Representation for Unsupervised Hyperspectral Band Selection. IEEE Trans. Geosci. Remote. Sens. 61: 1-13 (2023) - [j19]Gaodian Zhou, Jiahui Xu, Weitao Chen, Xianju Li, Jun Li, Lizhe Wang:
Deep Feature Enhancement Method for Land Cover With Irregular and Sparse Spatial Distribution Features: A Case Study on Open-Pit Mining. IEEE Trans. Geosci. Remote. Sens. 61: 1-20 (2023) - [c3]Xianju Li, Renxiang Guan, Zihao Li, Hao Liu, Jing Yang:
Multiview Subspace Clustering of Hyperspectral Images Based on Graph Convolutional Networks. APWeb/WAIM (4) 2023: 95-107 - [c2]Yin Zhou, Tianyi Li, Xianju Li, Ruyi Feng:
MCNet: A Multi-scale and Cascade Network for Semantic Segmentation of Remote Sensing Images. APWeb-WAIM (2) 2023: 162-176 - [i4]Zhenglai Li, Chang Tang, Xianju Li, Weiying Xie, Kun Sun, Xinzhong Zhu:
Towards Accurate and Reliable Change Detection of Remote Sensing Images via Knowledge Review and Online Uncertainty Estimation. CoRR abs/2305.19513 (2023) - [i3]Zhenglai Li, Chang Tang, Xinwang Liu, Changdong Li, Xianju Li, Wei Zhang:
MS-Former: Memory-Supported Transformer for Weakly Supervised Change Detection with Patch-Level Annotations. CoRR abs/2311.09726 (2023) - [i2]Renxiang Guan, Zihao Li, Xianju Li, Chang Tang, Ruyi Feng:
Contrastive Multi-view Subspace Clustering of Hyperspectral Images based on Graph Convolutional Networks. CoRR abs/2312.06068 (2023) - [i1]Renxiang Guan, Zihao Li, Xianju Li, Chang Tang:
Pixel-Superpixel Contrastive Learning and Pseudo-Label Correction for Hyperspectral Image Clustering. CoRR abs/2312.09630 (2023) - 2022
- [j18]Renxiang Guan, Zihao Li, Teng Li, Xianju Li, Jinzhong Yang, Weitao Chen:
Classification of Heterogeneous Mining Areas Based on ResCapsNet and Gaofen-5 Imagery. Remote. Sens. 14(13): 3216 (2022) - [j17]Weitao Chen, Shubing Ouyang, Wei Tong, Xianju Li, Xiongwei Zheng, Lizhe Wang:
GCSANet: A Global Context Spatial Attention Deep Learning Network for Remote Sensing Scene Classification. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 15: 1150-1162 (2022) - [j16]Weitao Chen, Shubing Ouyang, Jiawei Yang, Xianju Li, Gaodian Zhou, Lizhe Wang:
JAGAN: A Framework for Complex Land Cover Classification Using Gaofen-5 AHSI Images. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 15: 1591-1603 (2022) - [j15]Weitao Chen, Gaodian Zhou, Zhuoyue Liu, Xianju Li, Xiongwei Zheng, Lizhe Wang:
NIGAN: A Framework for Mountain Road Extraction Integrating Remote Sensing Road-Scene Neighborhood Probability Enhancements and Improved Conditional Generative Adversarial Network. IEEE Trans. Geosci. Remote. Sens. 60: 1-15 (2022) - [j14]Shubing Ouyang, Jiahui Xu, Weitao Chen, Yusen Dong, Xianju Li, Jun Li:
A Fine-Grained Genetic Landform Classification Network Based on Multimodal Feature Extraction and Regional Geological Context. IEEE Trans. Geosci. Remote. Sens. 60: 1-14 (2022) - [j13]Gaodian Zhou, Weitao Chen, Qianshan Gui, Xianju Li, Lizhe Wang:
Split Depth-Wise Separable Graph-Convolution Network for Road Extraction in Complex Environments From High-Resolution Remote-Sensing Images. IEEE Trans. Geosci. Remote. Sens. 60: 1-15 (2022) - 2021
- [j12]Mingjie Qian, Song Sun, Xianju Li:
Multimodal Data and Multiscale Kernel-Based Multistream CNN for Fine Classification of a Complex Surface-Mined Area. Remote. Sens. 13(24): 5052 (2021) - [j11]Meng Li, Zhuang Tang, Wei Tong, Xianju Li, Weitao Chen, Lizhe Wang:
A Multi-Level Output-Based DBN Model for Fine Classification of Complex Geo-Environments Area Using Ziyuan-3 TMS Imagery. Sensors 21(6): 2089 (2021) - 2020
- [j10]Chunming Wu, Xiao Li, Weitao Chen, Xianju Li:
A Review of Geological Applications of High-Spatial-Resolution Remote Sensing Data. J. Circuits Syst. Comput. 29(6): 2030006:1-2030006:23 (2020) - [j9]Weitao Chen, Xianju Li, Lizhe Wang:
Fine Land Cover Classification in an Open Pit Mining Area Using Optimized Support Vector Machine and WorldView-3 Imagery. Remote. Sens. 12(1): 82 (2020) - [j8]Wei Tong, Weitao Chen, Wei Han, Xianju Li, Lizhe Wang:
Channel-Attention-Based DenseNet Network for Remote Sensing Image Scene Classification. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 13: 4121-4132 (2020)
2010 – 2019
- 2019
- [j7]Xianju Li, Zhuang Tang, Weitao Chen, Lizhe Wang:
Multimodal and Multi-Model Deep Fusion for Fine Classification of Regional Complex Landscape Areas Using ZiYuan-3 Imagery. Remote. Sens. 11(22): 2716 (2019) - 2018
- [j6]Weitao Chen, Xianju Li, Haixia He, Lizhe Wang:
A Review of Fine-Scale Land Use and Land Cover Classification in Open-Pit Mining Areas by Remote Sensing Techniques. Remote. Sens. 10(1): 15 (2018) - [j5]Weitao Chen, Xianju Li, Haixia He, Lizhe Wang:
Assessing Different Feature Sets' Effects on Land Cover Classification in Complex Surface-Mined Landscapes by ZiYuan-3 Satellite Imagery. Remote. Sens. 10(1): 23 (2018) - [j4]Gang Chen, Song Chen, Xianju Li, Ping Zhou, Zhou Zhou:
Optimal Seamline Detection for Orthoimage Mosaicking Based on DSM and Improved JPS Algorithm. Remote. Sens. 10(6): 821 (2018) - [c1]Ruyi Feng, Tian Tian, Xianju Li, Kun Sun:
Rolling Guidance Based Scaled-Aware Spatial Sparse Unmixing for Hyperspectral Remote Sensing Imagery. IGARSS 2018: 4273-4276 - 2017
- [j3]Xianju Li, Weitao Chen, Xinwen Cheng, Yiwei Liao, Gang Chen:
Comparison and integration of feature reduction methods for land cover classification with RapidEye imagery. Multim. Tools Appl. 76(21): 23041-23057 (2017) - 2016
- [j2]Xianju Li, Weitao Chen, Xinwen Cheng, Lizhe Wang:
A Comparison of Machine Learning Algorithms for Mapping of Complex Surface-Mined and Agricultural Landscapes Using ZiYuan-3 Stereo Satellite Imagery. Remote. Sens. 8(6): 514 (2016) - 2015
- [j1]Xianju Li, Xinwen Cheng, Weitao Chen, Gang Chen, Shengwei Liu:
Identification of Forested Landslides Using LiDar Data, Object-based Image Analysis, and Machine Learning Algorithms. Remote. Sens. 7(8): 9705-9726 (2015)
Coauthor Index
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