Multiresolution based neutrosophic framework for building footprint identification using remote sensing images
Author:
Affiliation:
1. Veermata Jijabai Technological Institute,Department of Electronics and Telecommunication,Mumbai,India
2. Symbiosis Institute of Technology, Symbiosis International (Deemed University),Department of Electronics and Telecommunication,Pune,India
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10115458/10115464/10117227.pdf?arnumber=10117227
Reference17 articles.
1. Binary distance transform to improve feature extraction;neiva;arXiv preprint arXiv 1612 06443,2016
2. U-net based MRA framework for segmentation of remotely sensed images
3. Fully convolutional networks for semantic segmentation
4. Open Cities AI Challenge Dataset;Version 1 0 Radiant MLHub,2021
5. Color texture image segmentation based on neutrosophic set and wavelet transformation
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