Texture Aware Unsupervised Segmentation for Assessment of Flood Severity in UAV Aerial Images-Reference-Cited by-同舟云学术

Texture Aware Unsupervised Segmentation for Assessment of Flood Severity in UAV Aerial Images

Published:2022-07-17 Issue: Volume: Page:
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Container-title:IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium
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Author:

Lenka Sushant¹,Vidyarthi Bhavam¹,Sequeira Neil¹,Verma Ujjwal²

Affiliation:

1. Manipal Institute of Technology, Manipal Academy of Higher Education,Department of Electronics and Communication Engineering,India

2. Manipal Institute of Technology Bengaluru, Manipal Academy of Higher Education,Department of Electronics and Communication Engg,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9883023/9883024/09883678.pdf?arnumber=9883678

Reference7 articles.

1. Encoder-decoder with atrous separable convolution for semantic image segmen-tation;chen;Proceedings of the European Conference on Computer Vision (ECCV),2018

2. UVid-Net: Enhanced Semantic Segmentation of UAV Aerial Videos by Embedding Temporal Information

3. U-net: Convolutional networks for biomedical image segmentation;ronneberger;International Conference on Medi-cal Image Computing and Computer-Assisted Intervention,2015

4. FloodNet: A High Resolution Aerial Imagery Dataset for Post Flood Scene Understanding

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