An elevation-guided annotation tool for flood extent mapping on earth imagery (demo paper)

Author:

Adhikari Saugat1,Yan Da1,Sami Mirza Tanzim1,Khalil Jalal1,Yuan Lyuheng1,Joy Bhadhan Roy1,Jiang Zhe2,Sainju Arpan Man3

Affiliation:

1. University of Alabama at Birmingham

2. University of Florida

3. Middle Tennessee State University

Funder

National Science Foundation

Alabama Research and Development Enhancement Fund

Publisher

ACM

Reference8 articles.

1. The assignment of drainage direction over flat surfaces in raster digital elevation models

2. Caner Hazirbas , Lingni Ma , Csaba Domokos , and Daniel Cremers . 2016. FuseNet: Incorporating Depth into Semantic Segmentation via Fusion-Based CNN Architecture . In ACCV (Lecture Notes in Computer Science) , Vol. 10111 . Springer , 213--228. Caner Hazirbas, Lingni Ma, Csaba Domokos, and Daniel Cremers. 2016. FuseNet: Incorporating Depth into Semantic Segmentation via Fusion-Based CNN Architecture. In ACCV (Lecture Notes in Computer Science), Vol. 10111. Springer, 213--228.

3. Earth Imagery Segmentation on Terrain Surface with Limited Training Labels: A Semi-supervised Approach based on Physics-Guided Graph Co-Training

4. A Hidden Markov Tree Model for Flood Extent Mapping in Heavily Vegetated Areas based on High Resolution Aerial Imagery and DEM: A Case Study on Hurricane Matthew Floods

5. Olaf Ronneberger , Philipp Fischer , and Thomas Brox . 2015. U-Net: Convolutional Networks for Biomedical Image Segmentation . In MICCAI (Lecture Notes in Computer Science) , Vol. 9351 . Springer , 234--241. Olaf Ronneberger, Philipp Fischer, and Thomas Brox. 2015. U-Net: Convolutional Networks for Biomedical Image Segmentation. In MICCAI (Lecture Notes in Computer Science), Vol. 9351. Springer, 234--241.

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