Unsupervised Classification of Wetland Areas Using Hyper Spectral Imagery-Reference-Cited by-同舟云学术

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Unsupervised Classification of Wetland Areas Using Hyper Spectral Imagery

Published:2024-03-15 Issue: Volume:20 Page:1-6
ISSN:
Container-title:2024 2nd International Conference on Artificial Intelligence and Machine Learning Applications Theme: Healthcare and Internet of Things (AIMLA)
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Author:

Gill Amandeep¹,S Renuka Jyothi.²,Shrivastav Amit Kumar³

Affiliation:

1. Vivekananda Global University,Department of R&D,Jaipur,India

2. JAIN (Deemed to be University),School of Sciences,Department of Biotechnology and Genetics,Bangalore,Karnataka,India

3. ARKA JAIN University,Office of Registrar,Jamshedpur,Jharkhand,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10531297/10531303/10531370.pdf?arnumber=10531370

Reference20 articles.

1. Cross-scene wetland mapping on hyperspectral remote sensing images using adversarial domain adaptation network

2. Probabilistic Collaborative Representation Based Ensemble Learning for Classification of Wetland Hyperspectral Imagery

3. Spatial-Convolution Spectral-Transformer Interactive Network for Large-Scale Fast Refined Land Cover Classification and Mapping Based on ZY1-02D Satellite Hyperspectral Imagery

4. Estimation analysis of paralysis effects for human nervous system by using Neuro fuzzy logic controller;Ramesh;NeuroQuantology,2022

5. The Smart Performance Analysis of Network Scheduling Framework for Mobile Systems in Cloud Communication Networks

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