A New Mask R-CNN Based Method for Improved Landslide Detection

A New Mask R-CNN Based Method for Improved Landslide Detection

4 October 2020

Silvia Liberata Ullo

A. Sebastianelli

Shaik Ejaz Ahamed

Papers citing "A New Mask R-CNN Based Method for Improved Landslide Detection"

6 / 6 papers shown

Title
Fusion of Deep Learning and GIS for Advanced Remote Sensing Image Analysis Sajjad Afroosheh Mohammadreza Askari AI4CE 32 1 0 31 Dec 2024
MRIFE: A Mask-Recovering and Interactive-Feature-Enhancing Semantic Segmentation Network For Relic Landslide Detection Juefei He Yuexing Peng Wei Li Junchuan Yu Daqing Ge Wei Xiang 65 0 0 26 Nov 2024
A Comparative Analysis of CNN-based Deep Learning Models for Landslide Detection Antonio De Santis Marco Balduini Federico De Santis Arsenio Leo Himadri Vaidya 23 1 0 03 Aug 2024
The Outcome of the 2022 Landslide4Sense Competition: Advanced Landslide Detection from Multi-Source Satellite Imagery O. Ghorbanzadeh Yonghao Xu Hengwei Zhao Junjue Wang Yanfei Zhong ... Xiao Xiang Zhu Lin Bai Wei-le Li Wei Peng Pedram Ghamisi 49 44 0 06 Sep 2022
Landslide4Sense: Reference Benchmark Data and Deep Learning Models for Landslide Detection O. Ghorbanzadeh Yonghao Xu Pedram Ghamis Michael K Kopp David P. Kreil 42 93 0 01 Jun 2022
On Board Volcanic Eruption Detection through CNNs and Satellite Multispectral Imagery M. P. D. Rosso A. Sebastianelli D. Spiller P. Mathieu Silvia Liberata Ullo 30 38 0 29 Jun 2021