☆ 4.7 Article

LandslideCL: towards robust landslide analysis guided by contrastive learning

LANDSLIDES (2023)

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。

Article Computer Science, Software Engineering

Hybrid feature constraint with clustering for unsupervised person re-identification

Tongzhen Si et al.

Summary: In this paper, a hybrid feature constraint network (HFCN) is proposed for unsupervised person re-identification. By defining a feature constraint loss and designing a multi-task operation, along with the integration of clustering algorithm, the generation of high-quality labels and learning of valuable information are promoted. Extensive experiments demonstrate the effectiveness of the proposed HFCN method, outperforming state-of-the-art approaches.

VISUAL COMPUTER (2023)

添加到收藏夹

Article Engineering, Electrical & Electronic

Feature-Based Constraint Deep CNN Method for Mapping Rainfall-Induced Landslides in Remote Regions With Mountainous Terrain: An Application to Brazil

Guosen Xu et al.

Summary: This article presents a feature-based constraint deep U-Net (FCDU-Net) method to detect rainfall-induced mountainous landslides. By combining vegetation coverage and texture features of high-resolution images, accurate landslide boundaries can be identified. Experimental results demonstrate that the FCDU-Net method outperforms other methods in landslide detection with higher accuracy and segmentation results.

IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING (2022)

添加到收藏夹

Article Computer Science, Artificial Intelligence

OCNet: Object Context for Semantic Segmentation

Yuhui Yuan et al.

Summary: In this paper, a new context aggregation scheme called object context is proposed to enhance object information in semantic segmentation tasks. The method utilizes dense relation matrix and efficient interlaced sparse self-attention to model pixel relations, and combines with conventional multi-scale context schemes for richer context information. The approach shows competitive performances on challenging benchmarks like Cityscapes, ADE20K, LIP, PASCAL-Context, and COCO-Stuff.

INTERNATIONAL JOURNAL OF COMPUTER VISION (2021)

添加到收藏夹

Article Multidisciplinary Sciences

A comprehensive transferability evaluation of U-Net and ResU-Net for landslide detection from Sentinel-2 data (case study areas from Taiwan, China, and Japan)

Omid Ghorbanzadeh et al.

Summary: Earthquakes and heavy rainfalls are leading causes of landslides globally, and deep learning approaches like U-Net and ResU-Net have shown promising results in automatic landslide detection using high-resolution satellite imagery. This study successfully applied these algorithms to freely available data and achieved high detection performance in three case study areas.

SCIENTIFIC REPORTS (2021)

添加到收藏夹

Article Environmental Sciences

Landslide Detection from Open Satellite Imagery Using Distant Domain Transfer Learning

Shengwu Qin et al.

Summary: This study introduced distant domain transfer learning (DDTL) methods for landslide detection and classification, incorporating an attention mechanism (AM-DDTL) to more effectively extract information from satellite images. Experimental results showed that DDTL method outperforms traditional CNN methods, with the AM-DDTL models achieving a classification accuracy of 94%.

REMOTE SENSING (2021)

添加到收藏夹

Review Environmental Sciences

Effect of Attention Mechanism in Deep Learning-Based Remote Sensing Image Processing: A Systematic Literature Review

Saman Ghaffarian et al.

Summary: Machine learning, especially deep learning, has become a key method in computer vision and remote sensing image processing. Researchers are exploring the use of attention mechanisms to enhance the performance of deep learning methods in remote sensing applications.

REMOTE SENSING (2021)

添加到收藏夹

Article Engineering, Electrical & Electronic

Landslide Mapping Using Two Main Deep-Learning Convolution Neural Network Streams Combined by the Dempster-Shafer Model

Omid Ghorbanzadeh et al.

Summary: This study investigated the use of deep learning CNN technology combined with optical data and topographic factors for earthquake-induced landslide mapping. By training CNN streams with different datasets and combining the results, as well as comparing the mapping results through mean intersection-over-union, it was found that using spectral information and slope topographic factors can improve the mapping accuracy. The improvement of the mean intersection-over-union ranged from approximately zero to more than 17%, and the Dempster-Shafer model was effective in combining results from different scenarios.

IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING (2021)

添加到收藏夹

Article Engineering, Geological

Landslide detection from an open satellite imagery and digital elevation model dataset using attention boosted convolutional neural networks

Shunping Ji et al.

LANDSLIDES (2020)

添加到收藏夹

Article Environmental Sciences

Research on Post-Earthquake Landslide Extraction Algorithm Based on Improved U-Net Model

Peng Liu et al.

REMOTE SENSING (2020)

添加到收藏夹

Article Geochemistry & Geophysics

Remote Sensing for Assessing Landslides and Associated Hazards

Candide Lissak et al.

SURVEYS IN GEOPHYSICS (2020)

添加到收藏夹

Article Engineering, Geological

Visual interpretation of stereoscopic NDVI satellite images to map rainfall-induced landslides

Federica Fiorucci et al.

LANDSLIDES (2019)

添加到收藏夹

Article Computer Science, Information Systems

Geographic Object-Based Image Analysis for Automated Landslide Detection Using Open Source GIS Software

Raphael Knevels et al.

ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION (2019)

添加到收藏夹

Article Environmental Sciences

Flash flood risk assessment for upper Teesta river basin: using the hydrological modeling system (HEC-HMS) software

Subhra Prakash Mandal et al.

MODELING EARTH SYSTEMS AND ENVIRONMENT (2016)

添加到收藏夹

Article Geography, Physical

Producing a landslide inventory map using pixel-based and object-oriented approaches optimized by Taguchi method

Vahid Moosavi et al.

GEOMORPHOLOGY (2014)

添加到收藏夹

Article Geosciences, Multidisciplinary

Landslide susceptibility mapping using index of entropy and conditional probability models in GIS: Safarood Basin, Iran

Hamid Reza Pourghasemi et al.

CATENA (2012)

添加到收藏夹

Article Geochemistry & Geophysics

Object-Oriented Change Detection for Landslide Rapid Mapping

Ping Lu et al.

IEEE GEOSCIENCE AND REMOTE SENSING LETTERS (2011)

添加到收藏夹

Article Engineering, Civil

GIS mapping of regional probabilistic groundwater potential in the area of Pohang City, Korea

Hyun-Joo Oh et al.

JOURNAL OF HYDROLOGY (2011)

添加到收藏夹

Article Environmental Sciences

Object-oriented mapping of landslides using Random Forests

Andre Stumpf et al.

REMOTE SENSING OF ENVIRONMENT (2011)

添加到收藏夹

Article Engineering, Geological

Formation, distribution and risk control of landslides in China

Runqiu Huang et al.

JOURNAL OF ROCK MECHANICS AND GEOTECHNICAL ENGINEERING (2011)

添加到收藏夹

Article Geochemistry & Geophysics

ALOS PALSAR: A Pathfinder mission for global-scale monitoring of the environment

Ake Rosenqvist et al.

IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2007)

添加到收藏夹

Article Engineering, Geological

Impacts of the Chi-Chi earthquake on subsequent rainfall-induced landslides in central Taiwan

Ching-Weei Lin et al.

ENGINEERING GEOLOGY (2006)

添加到收藏夹

Article Geography, Physical

The effectiveness of hillshade maps and expert knowledge in mapping old deep-seated landslides

M Van Den Eeckhaut et al.

GEOMORPHOLOGY (2005)

添加到收藏夹

Article Environmental Sciences

Assessment of landslide susceptibility on the natural terrain of Lantau Island, Hong Kong

FC Dai et al.

ENVIRONMENTAL GEOLOGY (2001)

添加到收藏夹

© Peeref 2019-2024. All rights reserved.