Review on remote sensing methods for landslide detection using machine and deep learning
出版年份 2020 全文链接
标题
Review on remote sensing methods for landslide detection using machine and deep learning
作者
关键词
-
出版物
Transactions on Emerging Telecommunications Technologies
Volume -, Issue -, Pages -
出版商
Wiley
发表日期
2020-06-24
DOI
10.1002/ett.3998
参考文献
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注意:仅列出部分参考文献,下载原文获取全部文献信息。- Mapping Landslides on EO Data: Performance of Deep Learning Models vs. Traditional Machine Learning Models
- (2020) Nikhil Prakash et al. Remote Sensing
- Effectiveness assessment of Keras based deep learning with different robust optimization algorithms for shallow landslide susceptibility mapping at tropical area
- (2020) Viet-Ha Nhu et al. CATENA
- Evaluation of Different Machine Learning Methods and Deep-Learning Convolutional Neural Networks for Landslide Detection
- (2019) Omid Ghorbanzadeh et al. Remote Sensing
- Temporal Convolutional Neural Network for the Classification of Satellite Image Time Series
- (2019) Charlotte Pelletier et al. Remote Sensing
- Fully Convolutional Networks and Geographic Object-Based Image Analysis for the Classification of VHR Imagery
- (2019) Nicholus Mboga et al. Remote Sensing
- Optimizing the Predictive Ability of Machine Learning Methods for Landslide Susceptibility Mapping Using SMOTE for Lishui City in Zhejiang Province, China
- (2019) Yumiao Wang et al. International Journal of Environmental Research and Public Health
- Convolutional neural network based heterogeneous transfer learning for remote-sensing scene classification
- (2019) Huizhen Zhao et al. INTERNATIONAL JOURNAL OF REMOTE SENSING
- A Novel Rule-based Approach In Mapping Landslide Susceptibility
- (2019) Majid Shadman Roodposhti et al. SENSORS
- Context‐aware cognitive disaster management using fog‐based Internet of Things
- (2019) Talal Ashraf Butt Transactions on Emerging Telecommunications Technologies
- A Survey on Deep Learning-Driven Remote Sensing Image Scene Understanding: Scene Classification, Scene Retrieval and Scene-Guided Object Detection
- (2019) Yating Gu et al. Applied Sciences-Basel
- Deep learning in remote sensing applications: A meta-analysis and review
- (2019) Lei Ma et al. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
- Development of a Novel Hybrid Intelligence Approach for Landslide Spatial Prediction
- (2019) Nguyen et al. Applied Sciences-Basel
- UAV-Based Slope Failure Detection Using Deep-Learning Convolutional Neural Networks
- (2019) Omid Ghorbanzadeh et al. Remote Sensing
- Landslide mapping with remote sensing: challenges and opportunities
- (2019) Cheng Zhong et al. INTERNATIONAL JOURNAL OF REMOTE SENSING
- Improved landslide assessment using support vector machine with bagging, boosting, and stacking ensemble machine learning framework in a mountainous watershed, Japan
- (2019) Jie Dou et al. Landslides
- Landslide Detection Using Multi-Scale Image Segmentation and Different Machine Learning Models in the Higher Himalayas
- (2019) Sepideh Tavakkoli Piralilou et al. Remote Sensing
- Landslide Detection of Hyperspectral Remote Sensing Data Based on Deep Learning With Constrains
- (2019) Chengming Ye et al. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
- Review on landslide susceptibility mapping using support vector machines
- (2018) Yu Huang et al. CATENA
- DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs
- (2018) Liang-Chieh Chen et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- Object-based random forest classification of Landsat ETM+ and WorldView-2 satellite imagery for mapping lowland native grassland communities in Tasmania, Australia
- (2018) Bethany Melville et al. International Journal of Applied Earth Observation and Geoinformation
- Cluster Sparsity Field: An Internal Hyperspectral Imagery Prior for Reconstruction
- (2018) Lei Zhang et al. INTERNATIONAL JOURNAL OF COMPUTER VISION
- Improving Landslide Detection from Airborne Laser Scanning Data Using Optimized Dempster–Shafer
- (2018) Mustafa Mezaal et al. Remote Sensing
- Application of Ensemble-Based Machine Learning Models to Landslide Susceptibility Mapping
- (2018) Prima Kadavi et al. Remote Sensing
- Assessment of Landslide-Prone Areas and Their Zonation Using Logistic Regression, LogitBoost, and NaïveBayes Machine-Learning Algorithms
- (2018) Hamid Pourghasemi et al. Sustainability
- A novel algorithm for calculating transition potential in cellular automata models of land-use/cover change
- (2018) Majid Shadman Roodposhti et al. ENVIRONMENTAL MODELLING & SOFTWARE
- SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
- (2017) Vijay Badrinarayanan et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
- (2017) Shaoqing Ren et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- Comprehensive survey of deep learning in remote sensing: theories, tools, and challenges for the community
- (2017) John E. Ball et al. Journal of Applied Remote Sensing
- GIS-based modeling of rainfall-induced landslides using data mining-based functional trees classifier with AdaBoost, Bagging, and MultiBoost ensemble frameworks
- (2016) Dieu Tien Bui et al. Environmental Earth Sciences
- A comparative study of different machine learning methods for landslide susceptibility assessment: A case study of Uttarakhand area (India)
- (2016) Binh Thai Pham et al. ENVIRONMENTAL MODELLING & SOFTWARE
- A hybrid feature selection algorithm integrating an extreme learning machine for landslide susceptibility modeling of Mt. Woomyeon, South Korea
- (2016) Nikhil N. Vasu et al. GEOMORPHOLOGY
- Object-based classification of earthquake damage from high-resolution optical imagery using machine learning
- (2016) James Bialas et al. Journal of Applied Remote Sensing
- Identification of new Landslides from High Resolution Satellite Data Covering a Large Area Using Object-Based Change Detection Methods
- (2016) Tapas R. Martha et al. Journal of the Indian Society of Remote Sensing
- Rotation forest fuzzy rule-based classifier ensemble for spatial prediction of landslides using GIS
- (2016) Binh Thai Pham et al. NATURAL HAZARDS
- Evaluating machine learning and statistical prediction techniques for landslide susceptibility modeling
- (2015) J.N. Goetz et al. COMPUTERS & GEOSCIENCES
- A comparative study of landslide susceptibility maps using logistic regression, frequency ratio, decision tree, weights of evidence and artificial neural network
- (2015) Liang-Jie Wang et al. GEOSCIENCES JOURNAL
- Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition
- (2015) Kaiming He et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- Spatial prediction models for shallow landslide hazards: a comparative assessment of the efficacy of support vector machines, artificial neural networks, kernel logistic regression, and logistic model tree
- (2015) Dieu Tien Bui et al. Landslides
- Deep learning
- (2015) Yann LeCun et al. NATURE
- Damage and geological assessment of the 18 September 2011 Mw 6.9 earthquake in Sikkim, India using very high resolution satellite data
- (2015) Tapas R. Martha et al. Geoscience Frontiers
- Estimation of rainfall-induced landslides using ANN and fuzzy clustering methods: A case study in Saeen Slope, Azerbaijan province, Iran
- (2014) Y. Alimohammadlou et al. CATENA
- An assessment of multivariate and bivariate approaches in landslide susceptibility mapping: a case study of Duzkoy district
- (2014) Taskin Kavzoglu et al. NATURAL HAZARDS
- Susceptibility assessments of the Wenchuan earthquake-triggered landslides in Longnan using logistic regression
- (2013) S. B. Bai et al. Environmental Earth Sciences
- Selective Search for Object Recognition
- (2013) J. R. R. Uijlings et al. INTERNATIONAL JOURNAL OF COMPUTER VISION
- The Varnes classification of landslide types, an update
- (2013) Oldrich Hungr et al. Landslides
- Three (nearly) complete inventories of landslides triggered by the May 12, 2008 Wenchuan Mw 7.9 earthquake of China and their spatial distribution statistical analysis
- (2013) Chong Xu et al. Landslides
- Machine Learning Feature Selection Methods for Landslide Susceptibility Mapping
- (2013) Natan Micheletti et al. Mathematical Geosciences
- River Courses Affected by Landslides and Implications for Hazard Assessment: A High Resolution Remote Sensing Case Study in NE Iraq–W Iran
- (2013) Arsalan Othman et al. Remote Sensing
- Landslide inventory maps: New tools for an old problem
- (2012) Fausto Guzzetti et al. EARTH-SCIENCE REVIEWS
- Entropy-based particle swarm optimization with clustering analysis on landslide susceptibility mapping
- (2012) Shiuan Wan Environmental Earth Sciences
- Design of Deep Belief Networks for Short-Term Prediction of Drought Index Using Data in the Huaihe River Basin
- (2012) Junfei Chen et al. MATHEMATICAL PROBLEMS IN ENGINEERING
- Current issues in high-resolution earth observation technology
- (2012) DeRen Li et al. Science China-Earth Sciences
- Assessment of ASTER satellite images in landslide inventory mapping: Yenice-Gökçebey (Western Black Sea Region, Turkey)
- (2011) Tolga Alkevli et al. Bulletin of Engineering Geology and the Environment
- Seasonal landslide mapping and estimation of landslide mobilization rates using aerial and satellite images
- (2011) F. Fiorucci et al. GEOMORPHOLOGY
- Distribution pattern of earthquake-induced landslides triggered by the 12 May 2008 Wenchuan earthquake
- (2011) Tolga Gorum et al. GEOMORPHOLOGY
- Object-oriented analysis of multi-temporal panchromatic images for creation of historical landslide inventories
- (2011) Tapas R. Martha et al. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
- Mass wasting triggered by the 2008 Wenchuan earthquake is greater than orogenic growth
- (2011) Robert N. Parker et al. Nature Geoscience
- A comparison of pixel-based and object-based image analysis with selected machine learning algorithms for the classification of agricultural landscapes using SPOT-5 HRG imagery
- (2011) Dennis C. Duro et al. REMOTE SENSING OF ENVIRONMENT
- Advanced low- and full-resolution DInSAR map generation for slow-moving landslide analysis at different scales
- (2010) Leonardo Cascini et al. ENGINEERING GEOLOGY
- Airborne laser scanning of forested landslides characterization: Terrain model quality and visualization
- (2010) K.A. Razak et al. GEOMORPHOLOGY
- Geomorphic features extraction from high-resolution topography: landslide crowns and bank erosion
- (2010) Paolo Tarolli et al. NATURAL HAZARDS
- Detailed rockslide mapping in northern Norway with small baseline and persistent scatterer interferometric SAR time series methods
- (2010) T.R. Lauknes et al. REMOTE SENSING OF ENVIRONMENT
- Landslide inventory using image fusion techniques in Brazil
- (2009) Emerson Vieira Marcelino et al. International Journal of Applied Earth Observation and Geoinformation
- Onset and timing of deep-seated gravitational slope deformations in the eastern Alps, Italy
- (2008) Federico Agliardi et al. GEOMORPHOLOGY
- Systematic Study of the Urban Postconflict Change Classification Performance Using Spectral and Structural Features in a Support Vector Machine
- (2008) E. Pagot et al. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
- Comparison of decision tree methods for finding active objects
- (2007) Yongheng Zhao et al. ADVANCES IN SPACE RESEARCH
- Comparing landslide inventory maps
- (2007) Mirco Galli et al. GEOMORPHOLOGY
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