Identification of Building Damages using Satellite Images based on CNN- Recurrent Neural Network Approach-Reference-Cited by-同舟云学术

Identification of Building Damages using Satellite Images based on CNN- Recurrent Neural Network Approach

Published:2023-06-01 Issue: Volume: Page:
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Container-title:2023 8th International Conference on Communication and Electronics Systems (ICCES)
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Author:

Chavhan Ganesh K.¹,Singh Sumeshwar²,Sahebrao Doke Ankush³,Pilli Daniel⁴,Kailasavalli S.⁵,Vyankatesh Ghamande Manasi⁶

Affiliation:

1. K. J. Somaiya College of Arts Commerce and Science,Department of Geography,Kopargaon, Ahmednagar,Maharashtra,India

2. Graphic Era Hill University,Department of Computer Science and Engineering,Dehradun,Uttarakhand,India

3. Mahatma Phule Nutan Maha Vidyalaya,Department of Geography,Mirajgaon,Maharashtra,India

4. KLBS, Koneru Lakshmaiah Educational Foundation,MBA Department,Vijayawada,Andhra Pradesh,India

5. PSNA College of Engineering and Technology,Mathematics,Dindigul,Tamilnadu,India

6. Vishwakarma Institute of Information Technology,Engineering and Applied Science,Pune,Maharashtra,India

Publisher

IEEE

Link

Reference29 articles.

5. Creating XBD: A dataset for assessing building damage from satellite imagery;gupta;IEEE Comput Soc Conf Comput Vis Pattern Recognit Work,2019

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