Prabukumar M

Department of Software and Systems Engineering

School of Information Technology and Engineering

Vellore Campus

Shrutika S.

Vellore Institute of Technology (VIT) is a private university located in&nbsp;Tamil Nadu, India. Founded in 1984, as Vellore Engineering College, the institution offers 20 undergraduate, 34 postgraduate, four integrated and four research programs. It has campuses in Vellore, Amravati, Bhopal and Chennai.

VIT is one of the top ranked private universities in India according to NIRF, THE and QS Rankings.&nbsp;Govt. of India has recognized&nbsp;VIT, Vellore as an&nbsp;Institution of Eminence. This has allowed VIT to take independent quality initiatives and move up in world ranking.

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VIT University

Band clustering using expectation-maximization algorithm and weighted average fusion-based feature extraction for hyperspectral image classification

Journal of Applied Remote Sensing

A Hyperspectral remote sensing image (HSI) composed of various intrinsic components such as shading, albedo, noise and continuous narrow bands in different wavelengths. The classification of the HSI image is one of the challenging tasks in the area of Remote Sensing as it has numerous applications on environment, mineral exploration, target detection and anomaly detection. The present paper identifies a novel approach in classifying the image by incorporating the albedo intrinsic component retrieved from the image on principal components and factor analysis obtained through the dimensionality reduction. The obtained results are classified via Support Vector Machine classifier. The proposed algorithm tested on the benchmark datasets available worldwide such as Indian Pines, University of Pavia and Salinas. The extraction of albedo intrinsic components helps in effective classification of HSI image and outperforms the results with state of the art techniques, achieved the overall accuracy (OA) on these datasets.

Advances in Intelligent Systems and Computing Intelligent Systems Design and Applications

Classification of Hyper Spectral Remote Sensing Imagery Using Intrinsic Parameter Estimation

2019 10th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS)

A Band Selection Method For Hyperspectral Image Classification Based On Cuckoo Search Algorithm With Correlation Based Initialization

Fulltext

The Egyptian Journal of Remote Sensing and Space Science

A review on graph-based semi-supervised learning methods for hyperspectral image classification

Infrared Physics & Technology

Hyperspectral image classification using CNN with spectral and spatial features integration

International Journal of Remote Sensing

Unsupervised band selection based on weighted information entropy and 3D discrete cosine transform for hyperspectral image classification

Band clustering using expectation–maximization algorithm and weighted average fusion-based feature extraction for hyperspectral image classification

Journal	Data powered by TypesetJournal of Applied Remote Sensing
Publisher	Data powered by TypesetSPIE-Intl Soc Optical Eng
ISSN	1931-3195
Open Access	0