A Deforestation Detection Network Using Deep Learning-Based Semantic Segmentation-Reference-Cited by-同舟云学术

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A Deforestation Detection Network Using Deep Learning-Based Semantic Segmentation

Published:2024-01 Issue:1 Volume:8 Page:1-4
ISSN:2475-1472
Container-title:IEEE Sensors Letters
language:
Short-container-title:IEEE Sens. Lett.

Author:

Das Pradeep Kumar¹^ORCID,Sahu Adyasha²^ORCID,Xavy Dias V.³^ORCID,Meher Sukadev²^ORCID

Affiliation:

1. School of Electronics Engineering, Vellore Institute of Technology Vellore, Vellore, India

2. Department of Electronics and Communication Engineering, National Institute of Institute of Technology Rourkela, Rourkela, India

3. PharmaACE, Pune, India

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Link

http://xplorestaging.ieee.org/ielx7/7782634/10352975/10349797.pdf?arnumber=10349797

Reference25 articles.

1. Sea-Ice Classification Using Conditional Generative Adversarial Networks

2. Identifying land patterns from satellite imagery in Amazon rainforest using deep learning;Rakshit,2018

3. An Efficient Blood-Cell Segmentation for the Detection of Hematological Disorders

4. Computer Vision Based Method for Shadow Detection

5. AWOLSE: Adaptive Weight-Optimized Level Set Evolution-Based Blood Cell Segmentation

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1. Development of an Image Recognition System Based on Neural Networks for the Classification of Plant Species in the Amazon Rainforest, Peru, 2024;LatIA;2024-07-22

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