Theo dơi
Hejar Shahabi
Tiêu đề
Trích dẫn bởi
Trích dẫn bởi
Landslide detection using multi-scale image segmentation and different machine learning models in the higher himalayas
S Tavakkoli Piralilou, H Shahabi, B Jarihani, O Ghorbanzadeh, ...
Remote Sensing 11 (21), 2575, 2019
GIS-based machine learning algorithms for gully erosion susceptibility mapping in a semi-arid region of Iran
X Lei, W Chen, M Avand, S Janizadeh, N Kariminejad, H Shahabi, ...
Remote Sensing 12 (15), 2478, 2020
Landslide detection using deep learning and object-based image analysis
O Ghorbanzadeh, H Shahabi, A Crivellari, S Homayouni, T Blaschke, ...
Landslides 19 (4), 929-939, 2022
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)
O Ghorbanzadeh, A Crivellari, P Ghamisi, H Shahabi, T Blaschke
Scientific Reports 11 (1), 14629, 2021
A semi-automated object-based gully networks detection using different machine learning models: a case study of Bowen catchment, Queensland, Australia
H Shahabi, B Jarihani, S Tavakkoli Piralilou, D Chittleborough, M Avand, ...
Sensors 19 (22), 4893, 2019
Landslide susceptibility mapping for Austria using geons and optimization with the Dempster-Shafer theory
T Gudiyangada Nachappa, S Tavakkoli Piralilou, O Ghorbanzadeh, ...
Applied Sciences 9 (24), 5393, 2019
Landslide mapping using two main deep-learning convolution neural network streams combined by the Dempster–Shafer model
O Ghorbanzadeh, SR Meena, HSS Abadi, ST Piralilou, L Zhiyong, ...
IEEE Journal of selected topics in applied earth observations and remote …, 2020
Gully erosion susceptibility mapping (GESM) using machine learning methods optimized by the multi‑collinearity analysis and K-fold cross-validation
O Ghorbanzadeh, H Shahabi, F Mirchooli, K Valizadeh Kamran, S Lim, ...
Geomatics, Natural Hazards and Risk 11 (1), 1653-1678, 2020
Unsupervised deep learning for landslide detection from multispectral sentinel-2 imagery
H Shahabi, M Rahimzad, S Tavakkoli Piralilou, O Ghorbanzadeh, ...
Remote Sensing 13 (22), 4698, 2021
Improving the performance of artificial intelligence models using the rotation forest technique for landslide susceptibility mapping
H Shen, F Huang, X Fan, H Shahabi, A Shirzadi, D Wang, C Peng, X Zhao, ...
International Journal of Environmental Science and Technology 20 (10), 11239 …, 2023
Automatic landslide detection using bi-temporal sentinel 2 imagery
ST Piralilou, H Shahabi, R Pazur
GI_Forum 9, 39-45, 2021
Change detection of Oak forests using object-based classification of multitemporal Landsat imageries (Case study: forests of the northern province of Ilam)
H Rostam Zadeh, S Darabi, H Shahabi
Journal of RS and GIS for Natural Resources 8 (2), 92-110, 2017
Rapid mapping of landslides from sentinel-2 data using unsupervised deep learning
H Shahabi, M Rahimzad, O Ghorbanzadeh, ST Piralilou, T Blaschke, ...
2022 IEEE Mediterranean and Middle-East Geoscience and Remote Sensing …, 2022
Object-Based Thermal Remote-Sensing Analysis for Fault Detection in Mashhad County, Iran
B Feizizadeh, H Shahabi Sorman Abadi, K Didehban, T Blaschke, ...
Canadian Journal of Remote Sensing 45 (6), 847-861, 2019
Gully Networks Detection by Integration of Machine Learning and Geographic Object-Based Image Analysis
H Shahabi, B Jarihani, D Chittleborough, ST Piralilo
8th International Symposium on Gully Erosion, 2019
Application of fuzzy-object based image analysis approach for identifying and zoning salt-dust storms of Urmia Lake eastern plain
B Feizizadeh, H Shahabi, H Seyfei
Environmental Management Hazards 3 (3), 269-284, 2016
Model-Centric vs Data-Centric Deep Learning Approaches for Landslide Detection.
H Shahabi, O Ghorbanzadeh
CDCEO@ IJCAI, 44-49, 2022
Sentinel 1a-2a Incorporating an Object-Based Image Analysis Method for Flood Mapping and Extent Assessment
D Azhand, S Pirasteh, M Varshosaz, H Shahabi, S Abdollahabadi, ...
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information …, 2024
A Comparison of SimCLR and SwAV Contrastive Self-Supervised Learning Models For Landslide Detection
H Shahabi, O Ghorbanzadeh, S Homayouni, P Ghamisi
EGU24, 2024
بررسی و پیش بینی تغییرات پوشش جنگل ها با استفاده از طبقه بندی شیءگرا فازی تصاویر ماهواره ای و زنجیره مارکوف مطالعه موردی: شهرستان رومشکان
زندی, رحمان, شهابی, هژار, اکبری, ابراهیم
پژوهش و فناوری محیط زیست 5 (6), 0, 0
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