Satellite Image Classification Using a Hybrid Manta Ray Foraging Optimization Neural Network

Satellite Image Classification Using a Hybrid Manta Ray Foraging Optimization Neural Network

A semi supervised image classification method for satellite images is proposed in this paper. The satellite images contain enormous data that can be used in various applications. The analysis of the data is a tedious task due to the amount of data and the heterogeneity of the data. Thus, in this pap...

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Bibliographic Details
Main Authors: Amit Kumar Rai, Nirupama Mandal, Krishna Kant Singh, Ivan Izonin
Format: Article
Language:English
Published: Tsinghua University Press 2023-03-01
Series:Big Data Mining and Analytics
Subjects:
radial basis function neural network (rbfnn)
manta ray foraging optimization algorithm (mrfo)
landsat 8
classification
change detection
disaster mitigation
planning
Online Access:https://www.sciopen.com/article/10.26599/BDMA.2022.9020027

Internet

https://www.sciopen.com/article/10.26599/BDMA.2022.9020027

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