Journal



Frequency: Quarterly

ISSN (Online) : 2788-7669

ISSN (Print) : 2789-1801




Journal of Machine and Computing

Weight Optimization for missing data prediction of Landslide Susceptibility Mapping in Remote sensing Analysis



Journal of Machine and Computing

Received On : 15 May 2023

Revised On : 17 October 2023

Accepted On : 08 January 2024

Published On : 05 April 2024

Volume 04, Issue 02

Pages : 450-462



DOI
https://doi.org/10.53759/7669/jmc202404043
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Abstract

To keep track of changes to the Earth's surface, extensive time series of data from remote sensing using image processing is required. This research is motivated by the effectiveness of computational modelling techniques; however, the problem of missing data is multifaceted. When data at numerous a-periodic timestamps are absent during multi-temporal analysis, the issue becomes increasingly problematic. To make remote sensing time series analysis easier, weight optimised machine learning is used in this study to rebuild lost data. Keeping the causality restriction in mind, this method makes use of data from previous and subsequent timestamps. The architecture is based on an ensemble of numerous forecasting modules, built on the observed data in the time-series order. Dummy data is used to connect the forecasting modules, which were previously linked by the earlier half of the sequence. After that, iterative improvements are made to the dummy data to make it better fit the next segment of the sequence. On the basis of Landsat-7 TM-5 satellite imagery, the work has been proven to be accurate in forecasting missing images in normalised difference vegetation index time series. In a performance evaluation, the proposed forecasting model was shown to be effective.


Keywords

Missing Data; Weight Optimization; Machine Learning; Spatial-temporal analysis; Landslide Susceptibility Mapping; Image Processing.


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The authors would like to thank to the reviewers for nice comments on the manuscript.


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Cite this article

Kanchana S, Jayakarthik R, Dineshbabu V, Saranya M, Srikanth Mylapalli and Rajesh Kumar T, “Weight Optimization for missing data prediction of Landslide Susceptibility Mapping in Remote sensing Analysis", pp. 450-462, April 2024. doi: 10.53759/7669/jmc202404043.


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© 2024 Kanchana S, Jayakarthik R, Dineshbabu V, Saranya M, Srikanth Mylapalli and Rajesh Kumar T. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.


                            

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