Proceedings of the 3rd International Conference on Integrated Intelligent Computing Communication & Security (ICIIC 2021)

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A Hybrid Hierarchical Sparse Kernel Classification Model for Remote Sensing Image Retrieval

Authors
S K Sudha, S Aji
Corresponding Author
S K Sudha
Available Online 13 September 2021.
DOI
10.2991/ahis.k.210913.011How to use a DOI?
Keywords
Hybrid Classification, Relational Autoencoder, Relevance Vector Machine, Remote Sensing Image Retrieval, Support Vector Machine
Abstract

In remote sensing applications, finding matching images across huge datasets is difficult due to the scarcity of annotated images. The high spatio-spectral resolution and high-dimensional sparse nature make the remote sensing images difficult to utilize in particular applications. Hence, competent retrieval methods are to be designed with efficient classification strategies that solve multiclass problems. This work incorporates developing a new hybrid hierarchical sparse kernel classification (HHSKC) method using relevance vector machine (RVM) and support vector machine (SVM) classifiers. The feature extraction is attained through a relational autoencoder (RAE) with proper dimensionality reduction. The excellent competing qualities of the hybrid classifiers and the deep feature representations improve the overall potential of the RAE-HHSKC framework. The proposed RAE-HHSKC is validated on two benchmark RS image datasets: the UC Merced (UCMD) dataset and the RS-19 dataset. The RAE-HHSKC framework obtained state-of-the-art results using both sparse kernel learning machines (SKLM) and deep features.

Copyright
© 2021, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 3rd International Conference on Integrated Intelligent Computing Communication & Security (ICIIC 2021)
Series
Atlantis Highlights in Computer Sciences
Publication Date
13 September 2021
ISBN
10.2991/ahis.k.210913.011
ISSN
2589-4900
DOI
10.2991/ahis.k.210913.011How to use a DOI?
Copyright
© 2021, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

risenwbib
TY  - CONF
AU  - S K Sudha
AU  - S Aji
PY  - 2021
DA  - 2021/09/13
TI  - A Hybrid Hierarchical Sparse Kernel Classification Model for Remote Sensing Image Retrieval
BT  - Proceedings of the 3rd International Conference on Integrated Intelligent Computing Communication & Security (ICIIC 2021)
PB  - Atlantis Press
SP  - 77
EP  - 85
SN  - 2589-4900
UR  - https://doi.org/10.2991/ahis.k.210913.011
DO  - 10.2991/ahis.k.210913.011
ID  - Sudha2021
ER  -