Water body segmentation of Synthetic Aperture Radar image using Deep Convolutional Neural Networks-Reference-Cited by-同舟云学术

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Water body segmentation of Synthetic Aperture Radar image using Deep Convolutional Neural Networks

Published:2021-11 Issue: Volume:87 Page:104360
ISSN:0141-9331
Container-title:Microprocessors and Microsystems
language:en
Short-container-title:Microprocessors and Microsystems

Author:

Lalchhanhima R.^ORCID,Saha Goutam,Sur Samarendra Nath,Kandar Debdatta^ORCID

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Networks and Communications,Hardware and Architecture,Software

Reference40 articles.

1. Applications of deep learning to mri images: A survey;Liu;Big Data Min. Anal.,2018

2. A methodological survey of image segmentation using soft computing techniques;Singh,2015

3. A logical calculus of the ideas immanent in nervous activity;McCulloch;Bull. Math. Biophys.,1943

4. C. Stephen, Kleene, representation of events in nerve nets and finite automata, in: Automata studies.

5. Beyond Regression: New Tools for Prediction and Analysis in the Behavioral Sciences;Werbos,1974

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