标题
A Research on Landslides Automatic Extraction Model Based on the Improved Mask R-CNN
作者
关键词
-
出版物
ISPRS International Journal of Geo-Information
Volume 10, Issue 3, Pages 168
出版商
MDPI AG
发表日期
2021-03-15
DOI
10.3390/ijgi10030168
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- Landslides Information Extraction Using Object-Oriented Image Analysis Paradigm Based on Deep Learning and Transfer Learning
- (2020) Heng Lu et al. Remote Sensing
- Research on Post-Earthquake Landslide Extraction Algorithm Based on Improved U-Net Model
- (2020) Peng Liu et al. Remote Sensing
- Review of Satellite Interferometry for Landslide Detection in Italy
- (2020) Lorenzo Solari et al. Remote Sensing
- A Postearthquake Multiple Scene Recognition Model Based on Classical SSD Method and Transfer Learning
- (2020) Zhiqiang Xu et al. ISPRS International Journal of Geo-Information
- Distribution Pattern of Coseismic Landslides Triggered by the 2017 Jiuzhaigou Ms 7.0 Earthquake of China: Control of Seismic Landslide Susceptibility
- (2020) Xiao-li Chen et al. ISPRS International Journal of Geo-Information
- Damage Signature Generation of Revetment Surface along Urban Rivers Using UAV-Based Mapping
- (2020) Ting Chen et al. ISPRS International Journal of Geo-Information
- Landslide identification using machine learning
- (2020) Haojie Wang et al. Geoscience Frontiers
- Evaluation of Different Machine Learning Methods and Deep-Learning Convolutional Neural Networks for Landslide Detection
- (2019) Omid Ghorbanzadeh et al. Remote Sensing
- Landslide Inventory Mapping From Bitemporal Images Using Deep Convolutional Neural Networks
- (2019) Tao Lei et al. IEEE Geoscience and Remote Sensing Letters
- Landslide mapping from multi-sensor data through improved change detection-based Markov random field
- (2019) Ping Lu et al. REMOTE SENSING OF ENVIRONMENT
- Faster training of Mask R-CNN by focusing on instance boundaries
- (2019) Roland S. Zimmermann et al. COMPUTER VISION AND IMAGE UNDERSTANDING
- Landslide Inventory Mapping From Bitemporal High-Resolution Remote Sensing Images Using Change Detection and Multiscale Segmentation
- (2018) Zhi Yong Lv et al. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
- Mask R-CNN
- (2018) Kaiming He et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- 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
- Remote Sensing of Landslides—A Review
- (2018) Chaoying Zhao et al. Remote Sensing
- Use of DEMs Derived from TLS and HRSI Data for Landslide Feature Recognition
- (2018) Maurizio Barbarella et al. ISPRS International Journal of Geo-Information
- Landslide Detection and Susceptibility Mapping by AIRSAR Data Using Support Vector Machine and Index of Entropy Models in Cameron Highlands, Malaysia
- (2018) Dieu Tien Bui et al. Remote Sensing
- 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
- PCANet: A Simple Deep Learning Baseline for Image Classification?
- (2015) Tsung-Han Chan et al. IEEE TRANSACTIONS ON IMAGE PROCESSING
- Deep learning
- (2015) Yann LeCun et al. NATURE
- Tracing the evolution of 2010 Merapi volcanic deposits (Indonesia) based on object-oriented classification and analysis of multi-temporal, very high resolution images
- (2015) Jean-Claude Thouret et al. REMOTE SENSING OF ENVIRONMENT
- Object-Oriented Change Detection for Landslide Rapid Mapping
- (2011) Ping Lu et al. IEEE Geoscience and Remote Sensing Letters
- Semi-automatic recognition and mapping of rainfall induced shallow landslides using optical satellite images
- (2011) A.C. Mondini et al. REMOTE SENSING OF ENVIRONMENT
- Object-oriented mapping of landslides using Random Forests
- (2011) André Stumpf et al. REMOTE SENSING OF ENVIRONMENT
- Landslide hazards triggered by the 2008 Wenchuan earthquake, Sichuan, China
- (2009) Yueping Yin et al. Landslides
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