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2020 – today
- 2024
[j25]Jialin Sun
, Shuai Yan, Xiaochuang Yao, Bingbo Gao, Jianyu Yang:
A Segment Anything Model based weakly supervised learning method for crop mapping using Sentinel-2 time series images. Int. J. Appl. Earth Obs. Geoinformation 133: 104085 (2024)- [j24]Shuai Yan, Xiaochuang Yao, Jialin Sun, Weiming Huang, Longshan Yang, Chao Zhang, Bingbo Gao, Jianyu Yang, Wenju Yun, Dehai Zhu:
TSANet: A deep learning framework for the delineation of agricultural fields utilizing satellite image time series. Comput. Electron. Agric. 220: 108902 (2024) - [j23]Fan Xu, Xiaochuang Yao, Kangxin Zhang, Hao Yang, Quanlong Feng, Ying Li, Shuai Yan, Bingbo Gao, Shaoshuai Li, Jianyu Yang, Chao Zhang, Yahui Lv, Dehai Zhu, Sijing Ye:
Deep learning in cropland field identification: A review. Comput. Electron. Agric. 222: 109042 (2024) - [j22]Jialin Sun, Shuai Yan, Thomas Alexandridis, Xiaochuang Yao, Han Zhou, Bingbo Gao, Jianxi Huang, Jianyu Yang, Ying Li:
Enhancing Crop Mapping through Automated Sample Generation Based on Segment Anything Model with Medium-Resolution Satellite Imagery. Remote. Sens. 16(9): 1505 (2024) - [j21]Anjin Dai, Jianyu Yang, Tingting Zhang, Bingbo Gao, Kaixuan Tang, Xinyue Chen:
DADR-HCD: A Deep Domain Adaptation and Disentangled Representation Network for Unsupervised Heterogeneous Change Detection. IEEE Trans. Geosci. Remote. Sens. 62: 1-15 (2024) - [j20]Tingting Zhang, Jianyu Yang, Han Zhou, Anjin Dai, Bingbo Gao, Kaixuan Tang, Donglin Tan:
Abandoned Cropland Mapping With Phenology-Enhanced Change Vector Analysis and Semi-Supervised Learning in Different Cropping Intensity Areas. IEEE Trans. Geosci. Remote. Sens. 62: 1-15 (2024) - 2022
- [j19]Bingbo Gao, Alfred Stein, Jinfeng Wang:
A two-point machine learning method for the spatial prediction of soil pollution. Int. J. Appl. Earth Obs. Geoinformation 108: 102742 (2022) - [j18]Boan Chen, Quanlong Feng, Bowen Niu, Fengqin Yan, Bingbo Gao, Jianyu Yang, Jianhua Gong, Jiantao Liu:
Multi-modal fusion of satellite and street-view images for urban village classification based on a dual-branch deep neural network. Int. J. Appl. Earth Obs. Geoinformation 109: 102794 (2022) - [j17]Shiwei Dong, Hui Guo, Ziyue Chen, Yuchun Pan, Bingbo Gao:
Spatial Stratification Method for the Sampling Design of LULC Classification Accuracy Assessment: A Case Study in Beijing, China. Remote. Sens. 14(4): 865 (2022) - 2021
- [j16]Shuai Yan, Xiaochuang Yao, Dehai Zhu, Diyou Liu, Lin Zhang, Guojiang Yu, Bingbo Gao, Jianyu Yang, Wenju Yun:
Large-scale crop mapping from multi-source optical satellite imageries using machine learning with discrete grids. Int. J. Appl. Earth Obs. Geoinformation 103: 102485 (2021) - [j15]Zhenbo Du, Bingbo Gao, Cong Ou, Zhenrong Du, Jianyu Yang, Batsaikhan Bayartungalag, Battogtokh Dorjgotov, Wenju Yun, Dehai Zhu:
A Quantitative Analysis of Factors Influencing Organic Matter Concentration in the Topsoil of Black Soil in Northeast China Based on Spatial Heterogeneous Patterns. ISPRS Int. J. Geo Inf. 10(5): 348 (2021) - [j14]Chenxi Li, Zaiying Ma, Liuyue Wang, Weijian Yu, Donglin Tan, Bingbo Gao, Quanlong Feng, Hao Guo, Yuanyuan Zhao:
Improving the Accuracy of Land Cover Mapping by Distributing Training Samples. Remote. Sens. 13(22): 4594 (2021) - 2020
- [j13]Jinfeng Wang, Bingbo Gao, Alfred Stein:
The spatial statistic trinity: A generic framework for spatial sampling and inference. Environ. Model. Softw. 134: 104835 (2020) - [j12]Bingbo Gao, Mao-Gui Hu, Jinfeng Wang, Chengdong Xu, Ziyue Chen, Hai-Mei Fan, Haiyuan Ding:
Spatial interpolation of marine environment data using P-MSN. Int. J. Geogr. Inf. Sci. 34(3): 577-603 (2020) - [j11]Xiaolan Li, Bingbo Gao, Zhongke Bai, Yuchun Pan, Yunbing Gao:
An Improved Parallelized Multi-Objective Optimization Method for Complex Geographical Spatial Sampling: AMOSA-II. ISPRS Int. J. Geo Inf. 9(4): 236 (2020)
2010 – 2019
- 2018
- [j10]Yan Zhuang, Ruiyuan Li, Hao Yang, Danlu Chen, Ziyue Chen, Bingbo Gao, Bin He:
Understanding Temporal and Spatial Distribution of Crop Residue Burning in China from 2003 to 2017 Using MODIS Data. Remote. Sens. 10(3): 390 (2018) - [c8]Shiwei Dong, Yuchun Pan, Hui Guo, Bingbo Gao, Yunbing Gao, Xiaolan Li:
Evenness Detection Method for Sample Distribution of Agricultural Heavy Metal in the Fragmented. Regions. Agro-Geoinformatics 2018: 1-4 - [c7]Yanmin Ren, Yuchun Pan, Yu Liu, Xiumei Tang, Bingbo Gao, Yunbing Gao:
Evaluation Method of Field Road Accessibility Based on GF-2 Satellite Imagines. Agro-Geoinformatics 2018: 1-4 - 2017
- [j9]Zi-Yue Chen, Danlu Chen, Yan Zhuang, Jun Cai, Na Zhao, Bin He, Bingbo Gao, Bing Xu:
Examining the Influence of Crop Residue Burning on Local PM2.5 Concentrations in Heilongjiang Province Using Ground Observation and Remote Sensing Data. Remote. Sens. 9(10): 971 (2017) - [j8]Zi-Yue Chen, Bingbo Gao, Bernard Devereux:
State-of-the-Art: DTM Generation Using Airborne LIDAR Data. Sensors 17(1): 150 (2017) - [j7]Bingbo Gao, Anxiang Lu, Yuchun Pan, Lili Huo, Yunbing Gao, Xiaolan Li, Shuhua Li, Ziyue Chen:
Additional Sampling Layout Optimization Method for Environmental Quality Grade Classifications of Farmland Soil. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 10(12): 5350-5358 (2017) - [j6]Yilan Liao, Jinfeng Wang, Wei Du, Bingbo Gao, Xin Liu, Gong Chen, Xinming Song, Xiaoying Zheng:
Using Spatial Analysis to Understand the Spatial Heterogeneity of Disability Employment in China. Trans. GIS 21(4): 647-660 (2017) - [c6]Shiwei Dong, Yuchun Pan, Bingbo Gao:
Spatial Structure Change Analysis of Cultivated Soil Nutrients in Urban Fringe of North China. CCTA (1) 2017: 134-142 - 2016
- [j5]Ziyue Chen, Bing Xu, Bingbo Gao:
An Image-Segmentation-Based Urban DTM Generation Method Using Airborne Lidar Data. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 9(1): 496-506 (2016) - [j4]Bingbo Gao, Yuchun Pan, Zi-Yue Chen, Fang Wu, Xuhong Ren, Mao-Gui Hu:
A Spatial Conditioned Latin Hypercube Sampling Method for Mapping Using Ancillary Data. Trans. GIS 20(5): 735-754 (2016) - 2015
- [j3]Bingbo Gao, Jinfeng Wang, Hai-Mei Fan, Kan Xu, Mao-Gui Hu, Zi-Yue Chen:
A stratified optimization method for a multivariate marine environmental monitoring network in the Yangtze River estuary and its adjacent sea. Int. J. Geogr. Inf. Sci. 29(8): 1332-1349 (2015) - [c5]Xiaolan Li, Bingbo Gao, Yuchun Pan, Yanbing Zhou, Xingyao Hao:
The Synchronized Updating Technology Research of Spatio-temporal Supervision Data Model About Organizing of Construction Landuse Data in Distributed Environment. CCTA (2) 2015: 225-236 - 2014
- [j2]Xuhong Ren, Ning Wei, Bingbo Gao, Yuchun Pan, Qing Guo, Yunbing Gao:
Experimental Study on Estimation of Global Mean with Preferential Spatial Samples. Intell. Autom. Soft Comput. 20(4): 625-635 (2014) - [j1]Ziyue Chen, Bingbo Gao:
An Object-Based Method for Urban Land Cover Classification Using Airborne Lidar Data. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 7(10): 4243-4254 (2014) - 2011
- [c4]Yanmin Wang, Yuchun Pan, Bingbo Gao, Zhenyu Zhang, Bingjun Li:
A Monitoring and Management System for Farmland Environmental Base on Flex and Web Services. CCTA (1) 2011: 216-228 - [c3]Xiumei Zhang, Yuchun Pan, Bingbo Gao, Chunshan Su, Jihua Wang:
Preliminary Study on Soil Moisture Forecast of Winter Wheat. CCTA (2) 2011: 612-618 - 2010
- [c2]Jingbo Liu, Jian Wang, Bingbo Gao:
Research on the Method of Geospatial Information Intelligent Search Based on Search Intention Model. CCTA (2) 2010: 415-424
2000 – 2009
- 2009
- [c1]Chuanjie Xie, Gaohuan Liu, Bingbo Gao, Wentao Sheng:
The Optimization of Remote Spatial Join Queries on Spatial Information Grid. CSIE (4) 2009: 356-359
Coauthor Index
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last updated on 2024-09-10 01:15 CEST by the dblp team
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