[1]
|
Dai K, Li Z, Xu Q, et al. Entering the Era of Earth Observation-Based Landslide Warning Systems:A Novel and Exciting Framework[J]. IEEE Geoscience and Remote Sensing Magazine, 2020, 8(1):136-153. |
[2]
|
BAI Zhengwei Z Q, HUANG Guanwen, JING Ce, WANG Jiaxing. Real-time BeiDou landslide monitoring technology of-light terminal plus industry cloud‖[J]. Acta Geodaetica et Cartographica Sinica, 2019, 48(11):1424-1429. |
[3]
|
Bovenga F, Nitti D, Fornaro G, et al. Using C/X-band SAR interferometry and GNSS measurements for the Assisi landslide analysis[J]. International Journal of Remote Sensing, 2013, 34(11):4083-4104. |
[4]
|
Qiu D, Wang L, Luo D, et al. Landslide monitoring analysis of single-frequency BDS/GPS combined positioning with constraints on deformation characteristics[J]. Survey Review, 2019, 51(367):364-372. |
[5]
|
Jaboyedoff M, Oppikofer T, Abellan A, et al. Use of LIDAR in landslide investigations:a review[J]. Natural Hazards, 2012, 61(1):5-28. |
[6]
|
Mckean J, Roering J J. Objective landslide detection and surface morphology mapping using high-resolution airborne laser altimetry[J]. Geomorphology, 2004, 57(3):331-351. |
[7]
|
Sato H P, Hasegawa H, Fujiwara S, et al. Interpretation of landslide distribution triggered by the 2005 Northern Pakistan earthquake using SPOT 5 imagery[J]. Landslides, 2007, 4(2):113-122. |
[8]
|
Duric U, Marjanovic M, Radic Z, et al. Machine learning based landslide assessment of the Belgrade metropolitan area:Pixel resolution effects and a cross-scaling concept[J]. Engineering Geology, 2019, 256:23-38. |
[9]
|
Lu P, Qin Y, Li Z, et al. Landslide mapping from multi-sensor data through improved change detection-based Markov random field[J]. Remote Sensing of Environment, 2019, 231:111235. |
[10]
|
Pawluszek K, Marczak S, Borkowski A, et al. Multi-Aspect Analysis of Object-Oriented Landslide Detection Based on an Extended Set of LiDAR-Derived Terrain Features[J]. Isprs International Journal of Geo-Information, 2019, 8(8):321. |
[11]
|
Bacha, Werff V D, Shafique, et al. Transferability of object-based image analysis approaches for landslide detection in the Himalaya Mountains of northern Pakistan[J]. International Journal of Remote Sensing, 2020, 41(9):3390-3410. |
[12]
|
Petschko H, Bell R, Glade T. Effectiveness of visually analyzing LiDAR DTM derivatives for earth and debris slide inventory mapping for statistical susceptibility modeling[J]. Landslides, 2016, 13(5):857-872. |
[13]
|
Danneels G, Pirard E, Havenith H B. Automatic landslide detection from remote sensing images using supervised classification methods[C], IEEE International Geoscience & Remote Sensing Symposium, Barcelona, Spain, 2007. |
[14]
|
Jones J W, Desmond G B, Glover C H, et al. An approach to regional wetland digital elevation model development using a differential global positioning system and a custom-built helicopter-based surveying system[J]. International Journal of Remote Sensing, 2012, 33(2):450-465. |
[15]
|
Cao Y, Yin K, Zhou C, et al. Establishment of Landslide Groundwater Level Prediction Model Based on GA-SVM and Influencing Factor Analysis[J]. Sensors (Basel, Switzerland), 2020, 20(3):845. |
[16]
|
Zhu C H, Hu G D. Time Series Prediction of Landslide Displacement Using SVM Model:Application to Baishuihe Landslide in Three Gorges Reservoir Area, China[J]. Applied Mechanics & Materials, 2013, 239-240:1413-1420. |
[17]
|
Zhang K, Wu X, Niu R, et al. The assessment of landslide susceptibility mapping using random forest and decision tree methods in the Three Gorges Reservoir area, China[J]. Environmental Earth Sciences, 2017, 76(10):405. |
[18]
|
Stumpf A, Kerle N. Object-oriented mapping of landslides using Random Forests[J]. Remote Sensing of Environment, 2011, 115(10):2564-2577. |
[19]
|
Mezaal M R, Pradhan B, Rizeei H M. Improving Landslide Detection from Airborne Laser Scanning Data Using Optimized Dempster-Shafer[J]. Remote Sensing, 2018, 10(7):1029. |
[20]
|
Wang F, Jiang M, Qian C, et al. Residual Attention Network for Image Classification[C]. 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Honolulu, HI, USA, 2017. |
[21]
|
Zhao Z, Zheng P, Xu S, et al. Object Detection With Deep Learning:A Review[J]. IEEE Transactions on Neural Networks and Learning Systems, 2019, 30(11):3212-3232. |
[22]
|
Ronneberger O, Fischer P, Brox T. U-Net:Convolutional Networks for Biomedical Image Segmentation[M]//NAVAB N, HORNEGGER J, WELLS W M, et al. Medical Image Computing and Computer-Assisted Intervention, Pt Iii. 2015:234-241. |
[23]
|
Shi W, Zhang M, Ke H, et al. Landslide Recognition by Deep Convolutional Neural Network and Change Detection[J]. IEEE Transactions on Geoscience and Remote Sensing, 2020, 1-19. |
[24]
|
Ghorbanzadeh O, Blaschke T, Gholamnia K, et al. Evaluation of Different Machine Learning Methods and Deep-Learning Convolutional Neural Networks for Landslide Detection[J]. Remote Sensing, 2019, 11(2):196. |
[25]
|
Yu B, Chen F, Xu C. Landslide detection based on contour-based deep learning framework in case of national scale of Nepal in 2015[J]. Computers & Geoences, 2019, 135:104388. |
[26]
|
Wang H, Zhang L, Yin K, et al. Landslide identification using machine learning[J]. Geoence Frontiers, 2020, 08(07):9705-9726. |
[27]
|
Liu P, Wei Y, Wang Q, et al. Research on Post-Earthquake Landslide Extraction Algorithm Based on Improved U-Net Model[J]. Remote Sensing, 2020, 12(5):894. |
[28]
|
Fukushima K, Miyake S, Ito T. Neocognitron:A neural network model for a mechanism of visual pattern recognition[J]. IEEE Transactions on Systems, Man, and Cybernetics, 1983, SMC-13(5):826-834. |
[29]
|
Girshick R, Donahue J, Darrell T, et al. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation[C], 2014 IEEE Conference on Computer Vision and Pattern Recognition, OH, USA, 2014. |
[30]
|
Girshick R. Fast R-CNN[C], 2015 IEEE International Conference on Computer Vision (ICCV), Boston, MA, 2015. |
[31]
|
Ren S, He K, Girshick R, et al. Faster R-CNN:Towards Real-Time Object Detection with Region Proposal Networks[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2017, 39(6):1137-1149. |
[32]
|
He K, Gkioxari G, Dollár P, et al. Mask R-CNN[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2020, 42(2):386-397. |
[33]
|
Bochkovskiy A, Wang C Y, Liao H Y M. YOLOv4:Optimal Speed and Accuracy of Object Detection[C]. Computer Vision and Pattern Recognition, Seattle, WA, USA, 2020. |
[34]
|
Ji S, Yu D, Shen C, et al. Landslide detection from an open satellite imagery and digital elevation model dataset using attention boosted convolutional neural networks[J]. Landslides, 2020, 17:1337-1352. |