Leiguang Wang
Orcid: 0000-0003-2962-1508
According to our database1,
Leiguang Wang
authored at least 44 papers
between 2008 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2024
Improving Aboveground Biomass Estimation in Lowland Tropical Forests across Aspect and Age Stratification: A Case Study in Xishuangbanna.
Remote. Sens., April, 2024
Climate Interprets Saturation Value Variations Better Than Soil and Topography in Estimating Oak Forest Aboveground Biomass Using Landsat 8 OLI Imagery.
Remote. Sens., April, 2024
S<sup>2</sup>HM<sup>2</sup>: A Spectral-Spatial Hierarchical Masked Modeling Framework for Self-Supervised Feature Learning and Classification of Large-Scale Hyperspectral Images.
IEEE Trans. Geosci. Remote. Sens., 2024
A Multitask Network for Multiview Stereo Reconstruction: When Semantic Consistency-Based Clustering Meets Depth Estimation Optimization.
IEEE Trans. Geosci. Remote. Sens., 2024
A Stepwise Refining Image-Level Weakly Supervised Semantic Segmentation Method for Detecting Exposed Surface for Buildings (ESB) From Very High-Resolution Remote Sensing Images.
IEEE Trans. Geosci. Remote. Sens., 2024
Hierarchical Self-Learning Knowledge Inference Based on Markov Random Field for Semantic Segmentation of Remote Sensing Images.
IEEE Trans. Geosci. Remote. Sens., 2024
Crop Identification of UAV Images Based on an Unsupervised Semantic Segmentation Method.
IEEE Geosci. Remote. Sens. Lett., 2024
Ecol. Informatics, 2024
Proceedings of the IGARSS 2024, 2024
Potential Geographical Distributions and Spatial Shifts Trends of Ecological Tea Plantations of Camellia Sinensis VAR. Assamica in Yunnan Province, China.
Proceedings of the IGARSS 2024, 2024
Multi-Semantic Markov Random Field Model for Semantic Segmentation of High-Resolution Remote Sensing Images.
Proceedings of the IGARSS 2024, 2024
2023
Boosting Semantic Segmentation of Remote Sensing Images by Introducing Edge Extraction Network and Spectral Indices.
Remote. Sens., November, 2023
Retrieval of Three-Dimensional Green Volume in Urban Green Space from Multi-Source Remote Sensing Data.
Remote. Sens., November, 2023
Synergism of Multi-Modal Data for Mapping Tree Species Distribution - A Case Study from a Mountainous Forest in Southwest China.
Remote. Sens., February, 2023
Reduction in Uncertainty in Forest Aboveground Biomass Estimation Using Sentinel-2 Images: A Case Study of Pinus densata Forests in Shangri-La City, China.
Remote. Sens., February, 2023
A Generalization Sample Learning Method of Deep Learning for Semantic Segmentation of Remote Sensing Images.
IEEE Trans. Geosci. Remote. Sens., 2023
Proceedings of the Pattern Recognition and Computer Vision - 6th Chinese Conference, 2023
2022
A Dual-Generator Translation Network Fusing Texture and Structure Features for SAR and Optical Image Matching.
Remote. Sens., 2022
An MRF-Based Multigranularity Edge-Preservation Optimization for Semantic Segmentation of Remote Sensing Images.
IEEE Geosci. Remote. Sens. Lett., 2022
High Spatial Resolution Remote Sensing Imagery Classification Based on Markov Random Field Model Integrating Granularity and Semantic Features.
Proceedings of the Pattern Recognition and Computer Vision - 5th Chinese Conference, 2022
2021
Multigranularity Multiclass-Layer Markov Random Field Model for Semantic Segmentation of Remote Sensing Images.
IEEE Trans. Geosci. Remote. Sens., 2021
Mapping Forest Type with Multi-Seasonal Landsat Data and Multiple Environmental Factors in Yunnan Province Based on Google Earth Engine.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021
Forest Type Mapping at a Regional Scale Based Using Multitemporal Sentinel-2 Imagery.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021
Multigranularity Multiclass-Layer Markov Random Field Model for Improving Remote Sensing Image Classification.
Proceedings of the 2021 IEEE 23rd Int Conf on High Performance Computing & Communications; 7th Int Conf on Data Science & Systems; 19th Int Conf on Smart City; 7th Int Conf on Dependability in Sensor, 2021
2020
Proceedings of the 2020 International Conferences on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, 2020
2019
A Hybrid Markov Random Field Model With Multi-Granularity Information for Semantic Segmentation of Remote Sensing Imagery.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2019
A Markov Random Field Moel with Alternating Granularities for Segmentation of High Spatial Resolution Remote Sensing Imagery.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019
2018
Spatiotemporal change patterns of urban lakes in China's major cities between 1990 and 2015.
Int. J. Digit. Earth, 2018
Proceedings of the 26th International Conference on Geoinformatics, 2018
2017
Semantic Segmentation of Remote Sensing Imagery Using an Object-Based Markov Random Field Model With Auxiliary Label Fields.
IEEE Trans. Geosci. Remote. Sens., 2017
Guided Image Filtering-Based Pan-Sharpening Method: A Case Study of GaoFen-2 Imagery.
ISPRS Int. J. Geo Inf., 2017
2016
A new pansharpen method based on guided image filtering: A case study over Gaofen-2 imagery.
Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016
The classification results interpretation for compact SAR data based on partial polarization decomposition.
Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016
Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016
2015
Semantic Segmentation of Remote Sensing Imagery Using Object-Based Markov Random Field Model With Regional Penalties.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2015
Constructing Hierarchical Segmentation Tree for Feature Extraction and Land Cover Classification of High Resolution MS Imagery.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2015
2014
IEEE Geosci. Remote. Sens. Lett., 2014
An mean shift algorithm with adaptive bandwidth and weight selection for high spatial remotely sensed imagery segmentation.
Proceedings of the 2014 IEEE Geoscience and Remote Sensing Symposium, 2014
2013
IEEE Geosci. Remote. Sens. Lett., 2013
2009
IEEE Geosci. Remote. Sens. Lett., 2009
A Remote Sensing Image Segmentation Method Based on Spectral and Texture Information Fusion.
Proceedings of the Sixth International Conference on Information Technology: New Generations, 2009
2008
Proceedings of the International Conference on Computer Science and Software Engineering, 2008
Proceedings of the International Conference on Computer Science and Software Engineering, 2008