Trs-net tropical revolving storm disasters analysis and classification based on multispectral images using 2-d deep convolutional neural network

Author:

Jawahar Malathy,Jani Anbarasi L,Jasmine S Graceline,Daya J.L Febin,Ravi Vinayakumar,Chakrabarti Prasun

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Media Technology,Software

Reference35 articles.

1. Berezina P, Liu D (2022) Hurricane damage assessment using coupled convolutional neural networks: a case study of hurricane Michael. Geomat Nat Haz Risk 13(1):414–431

2. Elliott JR, Marcello de Michele and HK, Gupta (2020) "Earth observation for crustal tectonics and earthquake hazards. Surveys in Geophysics 41 1355–1389

3. Chen Sean Andrew, et al (2018) "Benchmark dataset for automatic damaged building detection from post-hurricane remotely sensed imagery." arXiv preprint arXiv:1812.05581

4. Sebastian Toni et al (2017) "Hurricane Harvey Report: A fact-finding effort in the direct aftermath of Hurricane Harvey in the Greater Houston Region."

5. Cao Quoc Dung, and Youngjun Choe (2018) "Detecting damaged buildings on post-hurricane satellite imagery based on customized convolutional neural networks." IEEE Dataport

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