A Design Entropy Based Hybrid Soft Classifier Algorithms for Improving Classification Performance of a Satellite Data

Ranjana Sharma; P. K. Garg; R. K. Dwivedi

doi:10.33187/jmsm.459653

EN

A Design Entropy Based Hybrid Soft Classifier Algorithms for Improving Classification Performance of a Satellite Data

Abstract

Image classification of the satellite imagery interprets the thematic map to represent the spatial distribution of earth features. There are so many applications of Remote sensing image classification such as Resource utilization and environmental impact analysis etc. The overall process result depends on two main aspects Every object have distinctive signature and feature of interest The process can distinguish these features separately. Image classification is broadly classified in two ways Pure classification and Mixed classification. In the pure classification, the pixels are classified into class only and in the mixed classification, pixels can fit into one or more module according to their membership values. In hard classification, data may be lost because of the restriction being in a single class. However in the soft classification, this problem is resolved. After resolving the problem, there is a need of accuracy assessment. Accuracy parameter is very important factor in terms of classification. So, in this study, I am trying to design the algorithm for the hybridization classification with entropy to maintain the optimizing.

Keywords

Accuracy,Entropy,Fuzzy C-Means with entropy

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Details

Primary Language

English

Subjects

Mathematical Sciences

Journal Section

Research Article

Authors

Ranjana Sharma ^*
0000-0002-0088-7153
India

P. K. Garg This is me
India

R. K. Dwivedi This is me
India

Publication Date

August 30, 2019

Submission Date

September 13, 2018

Acceptance Date

January 28, 2019

Published in Issue

Year 2019 Volume: 2 Number: 2

DOI

https://doi.org/10.33187/jmsm.459653

IZ

https://izlik.org/JA24PZ26DM

APA

Sharma, R., Garg, P. K., & Dwivedi, R. K. (2019). A Design Entropy Based Hybrid Soft Classifier Algorithms for Improving Classification Performance of a Satellite Data. Journal of Mathematical Sciences and Modelling, 2(2), 117-124. https://doi.org/10.33187/jmsm.459653

AMA

1.Sharma R, Garg PK, Dwivedi RK. A Design Entropy Based Hybrid Soft Classifier Algorithms for Improving Classification Performance of a Satellite Data. Journal of Mathematical Sciences and Modelling. 2019;2(2):117-124. doi:10.33187/jmsm.459653

Chicago

Sharma, Ranjana, P. K. Garg, and R. K. Dwivedi. 2019. “A Design Entropy Based Hybrid Soft Classifier Algorithms for Improving Classification Performance of a Satellite Data”. Journal of Mathematical Sciences and Modelling 2 (2): 117-24. https://doi.org/10.33187/jmsm.459653.

EndNote

Sharma R, Garg PK, Dwivedi RK (August 1, 2019) A Design Entropy Based Hybrid Soft Classifier Algorithms for Improving Classification Performance of a Satellite Data. Journal of Mathematical Sciences and Modelling 2 2 117–124.

IEEE

[1]R. Sharma, P. K. Garg, and R. K. Dwivedi, “A Design Entropy Based Hybrid Soft Classifier Algorithms for Improving Classification Performance of a Satellite Data”, Journal of Mathematical Sciences and Modelling, vol. 2, no. 2, pp. 117–124, Aug. 2019, doi: 10.33187/jmsm.459653.

ISNAD

Sharma, Ranjana - Garg, P. K. - Dwivedi, R. K. “A Design Entropy Based Hybrid Soft Classifier Algorithms for Improving Classification Performance of a Satellite Data”. Journal of Mathematical Sciences and Modelling 2/2 (August 1, 2019): 117-124. https://doi.org/10.33187/jmsm.459653.

JAMA

1.Sharma R, Garg PK, Dwivedi RK. A Design Entropy Based Hybrid Soft Classifier Algorithms for Improving Classification Performance of a Satellite Data. Journal of Mathematical Sciences and Modelling. 2019;2:117–124.

MLA

Sharma, Ranjana, et al. “A Design Entropy Based Hybrid Soft Classifier Algorithms for Improving Classification Performance of a Satellite Data”. Journal of Mathematical Sciences and Modelling, vol. 2, no. 2, Aug. 2019, pp. 117-24, doi:10.33187/jmsm.459653.

Vancouver

1.Ranjana Sharma, P. K. Garg, R. K. Dwivedi. A Design Entropy Based Hybrid Soft Classifier Algorithms for Improving Classification Performance of a Satellite Data. Journal of Mathematical Sciences and Modelling. 2019 Aug. 1;2(2):117-24. doi:10.33187/jmsm.459653