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Leiguang Wang
Leiguang Wang
Southwest Forestry University
Verified email at swfu.edu.cn
Title
Cited by
Cited by
Year
Assessment of spatial–temporal changes of ecological environment quality based on RSEI and GEE: A case study in Erhai Lake Basin, Yunnan province, China
Y Xiong, W Xu, N Lu, S Huang, C Wu, L Wang, F Dai, W Kou
Ecological Indicators 125, 107518, 2021
1982021
Semantic segmentation of remote sensing imagery using object-based Markov random field model with regional penalties
C Zheng, L Wang
IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2014
602014
A review of building detection from very high resolution optical remote sensing images
J Li, X Huang, L Tu, T Zhang, L Wang
GIScience & Remote Sensing 59 (1), 1199-1225, 2022
592022
Semantic segmentation of remote sensing imagery using an object-based Markov random field model with auxiliary label fields
C Zheng, Y Zhang, L Wang
IEEE Transactions on geoscience and remote sensing 55 (5), 3015-3028, 2017
502017
Image segmentation using multiregion-resolution MRF model
C Zheng, L Wang, R Chen, X Chen
IEEE geoscience and remote sensing letters 10 (4), 816-820, 2012
362012
A Markov random field integrating spectral dissimilarity and class co-occurrence dependency for remote sensing image classification optimization
L Wang, X Huang, C Zheng, Y Zhang
ISPRS Journal of Photogrammetry and Remote Sensing 128, 223-239, 2017
282017
Supervised image segmentation based on tree-structured MRF model in wavelet domain
G Liu, Q Qin, T Mei, W Xie, L Wang
IEEE Geoscience and Remote Sensing Letters 6 (4), 850-854, 2009
262009
Ecological environment quality assessment of Xishuangbanna rubber plantations expansion (1995–2018) based on multi-temporal Landsat imagery and RSEI
Y Xiong, W Xu, S Huang, C Wu, F Dai, L Wang, N Lu, W Kou
Geocarto International 37 (12), 3441-3468, 2022
242022
Multigranularity multiclass-layer Markov random field model for semantic segmentation of remote sensing images
C Zheng, Y Zhang, L Wang
IEEE Transactions on Geoscience and Remote Sensing 59 (12), 10555-10574, 2020
222020
Image quality assessment based on structural distortion and image definition
Y Yi, X Yu, L Wang, Z Yang
2008 International Conference on Computer Science and Software Engineering 6 …, 2008
222008
Automatic analysis of complex interactions in microservice systems
F Dai, H Chen, Z Qiang, Z Liang, B Huang, L Wang
Complexity 2020 (1), 2128793, 2020
182020
Optimization of segmentation algorithms through mean-shift filtering preprocessing
L Wang, G Liu, Q Dai
IEEE Geoscience and Remote Sensing Letters 11 (3), 622-626, 2013
182013
Analyzing the role of spatial features when cooperating hyperspectral and LiDAR data for the tree species classification in a subtropical plantation forest area
B Feng, C Zheng, W Zhang, L Wang, C Yue
Journal of Applied Remote Sensing 14 (2), 022213-022213, 2020
172020
Reduction in Uncertainty in Forest Aboveground Biomass Estimation Using Sentinel-2 Images: A Case Study of Pinus densata Forests in Shangri-La City, China
L Li, B Zhou, Y Liu, Y Wu, J Tang, W Xu, L Wang, G Ou
Remote Sensing 15 (3), 559, 2023
152023
Constructing hierarchical segmentation tree for feature extraction and land cover classification of high resolution MS imagery
L Wang, Q Dai, Q Xu, Y Zhang
IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2015
152015
A hybrid Markov random field model with multi-granularity information for semantic segmentation of remote sensing imagery
C Zheng, L Wang, X Chen
IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2019
142019
Guided image filtering-based pan-sharpening method: A case study of GaoFen-2 imagery
Y Zheng, Q Dai, Z Tu, L Wang
ISPRS international journal of geo-information 6 (12), 404, 2017
142017
Assessment of spatial-temporal changes of landscape ecological risk in Xishuangbanna, China from 1990 to 2019
Y Liu, W Xu, Z Hong, L Wang, G Ou, N Lu
Sustainability 14 (17), 10645, 2022
122022
The pruning phenological phase-based method for extracting tea plantations by field hyperspectral data and Landsat time series imagery
W Xu, S Huang, C Wu, Y Xiong, L Wang, N Lu, W Kou
Geocarto International 37 (7), 2116-2136, 2022
122022
Classifying forest types over a mountainous area in southwest China with Landsat data composites and multiple environmental factors
R Li, P Fang, W Xu, L Wang, G Ou, W Zhang, X Huang
Forests 13 (1), 135, 2022
112022
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