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Lei Ma
Lei Ma
Associate Professor, Nanjing University
Verified email at nju.edu.cn - Homepage
Title
Cited by
Cited by
Year
Deep learning in remote sensing applications A meta-analysis and review
L Ma, Y Liu, X Zhang, Y Ye, G Yin, BA Johnson
ISPRS Journal of Photogrammetry and Remote Sensing 152, 166-177, 2019
16722019
A review of supervised object-based land-cover image classification
L Ma, M Li, X Ma, L Cheng, P Du, Y Liu
ISPRS Journal of Photogrammetry and Remote Sensing 130, 277-293, 2017
9062017
A systematic comparison of different object-based classification techniques using high spatial resolution imagery in agricultural environments
M Li, L Ma, T Blaschke, L Cheng, D Tiede
International Journal of Applied Earth Observation and Geoinformation 49, 87-98, 2016
2242016
Evaluation of feature selection methods for object-based land cover mapping of unmanned aerial vehicle imagery using random forest and support vector machine classifiers
L Ma, T Fu, T Blaschke, M Li, D Tiede, Z Zhou, X Ma, D Chen
ISPRS International Journal of Geo-Information 6 (2), 51, 2017
2222017
Training set size, scale, and features in Geographic Object-Based Image Analysis of very high resolution unmanned aerial vehicle imagery
L Ma, L Cheng, M Li, Y Liu, X Ma
ISPRS Journal of Photogrammetry and Remote Sensing 102, 14-27, 2015
2162015
Quantitative risk analysis of urban natural gas pipeline networks using geographical information systems
L Ma, L Cheng, M Li
Journal of Loss Prevention in the Process Industries 26 (6), 1183-1192, 2013
932013
A novel wrapper approach for feature selection in object-based image classification using polygon-based cross-validation
L Ma, M Li, Y Gao, T Chen, X Ma, L Qu
IEEE Geoscience and Remote Sensing Letters 14 (3), 409-413, 2017
862017
Mapping the land cover of Africa at 10 m resolution from multi-source remote sensing data with Google Earth Engine
Q Li, C Qiu, L Ma, M Schmitt, XX Zhu
Remote Sensing 12 (4), 602, 2020
832020
Identifying industrial heat sources using time-series of the VIIRS Nightfire product with an object-oriented approach
Y Liu, C Hu, W Zhan, C Sun, B Murch, L Ma
Remote Sensing of Environment 204, 347-365, 2018
832018
Object-based change detection in urban areas: The effects of segmentation strategy, scale, and feature space on unsupervised methods
L Ma, M Li, T Blaschke, X Ma, D Tiede, L Cheng, Z Chen, D Chen
Remote Sensing 8 (9), 761, 2016
832016
Making Landsat time series consistent: Evaluating and improving Landsat analysis ready data
S Qiu, Y Lin, R Shang, J Zhang, L Ma, Z Zhu
Remote Sensing 11 (1), 51, 2018
732018
Constructing ecological networks based on habitat quality assessment: a case study of Changzhou, China
Y Gao, L Ma, J Liu, Z Zhuang, Q Huang, M Li
Scientific reports 7 (1), 46073, 2017
702017
Landslides information extraction using object-oriented image analysis paradigm based on deep learning and transfer learning
H Lu, L Ma, X Fu, C Liu, Z Wang, M Tang, N Li
Remote Sensing 12 (5), 752, 2020
662020
Using convolutional neural network to identify irregular segmentation objects from very high-resolution remote sensing imagery
T Fu, L Ma, M Li, B Johnson
Journal of Applied Remote Sensing 12 (2), 025010, 2018
652018
Using unmanned aerial vehicle for remote sensing application
L Ma, M Li, L Tong, Y Wang, L Cheng
2013 21st International Conference on Geoinformatics, 1-5, 2013
592013
A novel method of quantitative risk assessment based on grid difference of pipeline sections
L Ma, Y Li, L Liang, M Li, L Cheng
Safety science 59, 219-226, 2013
542013
Cultivated land information extraction from high-resolution unmanned aerial vehicle imagery data
L Ma, L Cheng, W Han, L Zhong, M Li
Journal of Applied Remote Sensing 8 (1), 083673-083673, 2014
512014
Fire spread simulation using GIS: Aiming at urban natural gas pipeline
L Cheng, S Li, L Ma, M Li, X Ma
Safety science 75, 23-35, 2015
442015
Image Segmentation and Object-Based Image Analysis for Environmental Monitoring: Recent Areas of Interest, Researchers’ Views on the Future Priorities
BA Johnson, L Ma
Remote Sensing 12 (11), 1772, 2020
392020
Estimation of urban ecosystem services value: A case study of Chengdu, Southwestern China
X Dai, BA Johnson, P Luo, K Yang, L Dong, Q Wang, C Liu, N Li, H Lu, ...
Remote Sensing 13 (2), 207, 2021
372021
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