ISSN 2394-5125
 

Research Article 


A Supervised Approach to Assess Classification Techniques for HSI

Diwaker, Ashutosh Bhatt, Anurag Shrivastava, Ankit Agarwal.

Abstract
This paper assess the performance of some most widely used supervised image classification techniques and experimental results are analyzed on two HSI datasets. Dimensionality reduction using well known Decision Boundary Feature Extraction (DBFE) feature extraction technique is performed as preprocessing step to obtain most informative features. The spectral signature so extracted are provided as input to Random Forest (RF), Artificial Neural Networks (ANN) and Gaussian Maximum Likelihood (GML) classifiers to carry out pixel-wise classification. The obtained results of experiments performed on two HSI datasets namely Pavia University (PU) and Pavia center (PC) are analyzed on the basis of parameters like overall accuracy, class wise accuracy kappa coefficient and execution time. The outcomes so obtained shows that RF is a better classifier in terms of overall accuracy, class wise accuracy kappa coefficient and execution time.

Key words: DBFE, ANN, GML, Hyperspectral Imagery, RF, HSI.


 
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How to Cite this Article
Pubmed Style

Diwaker, Ashutosh Bhatt, Anurag Shrivastava, Ankit Agarwal. A Supervised Approach to Assess Classification Techniques for HSI. JCR. 2020; 7(17): 2670-2676. doi:10.31838/jcr.07.17.332


Web Style

Diwaker, Ashutosh Bhatt, Anurag Shrivastava, Ankit Agarwal. A Supervised Approach to Assess Classification Techniques for HSI. http://www.jcreview.com/?mno=117453 [Access: June 02, 2021]. doi:10.31838/jcr.07.17.332


AMA (American Medical Association) Style

Diwaker, Ashutosh Bhatt, Anurag Shrivastava, Ankit Agarwal. A Supervised Approach to Assess Classification Techniques for HSI. JCR. 2020; 7(17): 2670-2676. doi:10.31838/jcr.07.17.332



Vancouver/ICMJE Style

Diwaker, Ashutosh Bhatt, Anurag Shrivastava, Ankit Agarwal. A Supervised Approach to Assess Classification Techniques for HSI. JCR. (2020), [cited June 02, 2021]; 7(17): 2670-2676. doi:10.31838/jcr.07.17.332



Harvard Style

Diwaker, Ashutosh Bhatt, Anurag Shrivastava, Ankit Agarwal (2020) A Supervised Approach to Assess Classification Techniques for HSI. JCR, 7 (17), 2670-2676. doi:10.31838/jcr.07.17.332



Turabian Style

Diwaker, Ashutosh Bhatt, Anurag Shrivastava, Ankit Agarwal. 2020. A Supervised Approach to Assess Classification Techniques for HSI. Journal of Critical Reviews, 7 (17), 2670-2676. doi:10.31838/jcr.07.17.332



Chicago Style

Diwaker, Ashutosh Bhatt, Anurag Shrivastava, Ankit Agarwal. "A Supervised Approach to Assess Classification Techniques for HSI." Journal of Critical Reviews 7 (2020), 2670-2676. doi:10.31838/jcr.07.17.332



MLA (The Modern Language Association) Style

Diwaker, Ashutosh Bhatt, Anurag Shrivastava, Ankit Agarwal. "A Supervised Approach to Assess Classification Techniques for HSI." Journal of Critical Reviews 7.17 (2020), 2670-2676. Print. doi:10.31838/jcr.07.17.332



APA (American Psychological Association) Style

Diwaker, Ashutosh Bhatt, Anurag Shrivastava, Ankit Agarwal (2020) A Supervised Approach to Assess Classification Techniques for HSI. Journal of Critical Reviews, 7 (17), 2670-2676. doi:10.31838/jcr.07.17.332