Transformer Encoder and Decoder Method for Forest Estimation and Change Detection-Reference-Cited by-同舟云学术

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Transformer Encoder and Decoder Method for Forest Estimation and Change Detection

Published:2024-02-23 Issue: Volume:30 Page:1-4
ISSN:
Container-title:2024 International Conference on Integrated Circuits and Communication Systems (ICICACS)
language:
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Author:

Kotin Kiran Kashinath¹,Kumar Sharan²,Alabdeli Haider³,Kumar Gotte Ranjith⁴,A C Ramachandra⁵

Affiliation:

1. Smt. Kamala and Sri Venkappa M. Agadi College of Engineering and Technology,Department of ECE,Lakshmeshwar,Karnataka,India

2. H.K.E. Society's S.M.V. College of Engineering,Department of ECE,Raichur,Karnataka,India

3. The Islamic University,Najaf,Iraq

4. SR University,School of Computer Science and Artificial Intelligence,Warangal,India

5. Nitte Meenakshi Institute of Technology,Department of Electronics and Communication Engineering,Bengaluru,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10498131/10498150/10498369.pdf?arnumber=10498369

Reference11 articles.

1. Automatic forest change detection through a bi-annual time series of satellite imagery: Toward production of an integrated land cover map

2. Modeling and Optimal Control of Power System Frequency Load Controller by Applying Disturbance in the System by a Modified Version of Firefly Algorithm

3. Toward Targeted Change Detection with Heterogeneous Remote Sensing Images for Forest Mortality Mapping

4. Identification of Triple Negative Breast Cancer Genes Using Rough Set Based Feature Selection Algorithm & Ensemble Classifier;Patil;HUMAN-CENTRIC COMPUTING AND INFORMATION SCIENCES,2022

5. Semantic segmentation of breast cancer images using DenseNet with proposed PSPNet

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