A.V. Kavitha

Work place: Department of computer science, Jawaharlal Nehru technological university –Kakinada, Kakinada, Andhra Pradesh, India

E-mail: anubrolukavitha@yahoo.com


Research Interests: Image Processing, Pattern Recognition, Computer Vision, Computer systems and computational processes


Smt. A.V. Kavitha is a research scholar at Jawaharlal Nehru Technological University, Kakinada and is working as an Associate professor and Head of the Department of Computer science at Sri. A.B.R. Government degree college, Repalle. She is having 22 years of teaching experience and six years of research experience. She has published 12 papers in various national and international journals and conferences. Her research interests are in Image processing, Pattern recognition, Remote sensing, and computer vision.

Author Articles
An Efficient Texture Feature Extraction Algorithm for High Resolution Land Cover Remote Sensing Image Classification

By A.V. Kavitha A. Srikrishna Ch. Satyanarayana

DOI: https://doi.org/10.5815/ijigsp.2018.12.03, Pub. Date: 8 Dec. 2018

Remote sensing image classification is very much essential for many socio, economic and environmental applications in the society. They aid in agriculture monitoring, urban planning, forest monitoring, etc. Classification of a remote sensing image is still a challenging problem because of its multifold problems. A new algorithm LCDFOSCA (Linear Contact Distribution First Order Statistics Classification Algorithm) is proposed in this paper to extract the texture features from a Color remote sensing image. This algorithm uses linear contact distributions, mathematical morphology, and first-order statistics to extract the texture features. Later k-means is used to cluster these feature vectors and then classify the image. This algorithm is implemented on NRSC ‘Tirupathi’ area 2.5m, 1m color images and on Google Earth images. The algorithm is evaluated with various measures like the dice coefficient, segmentation accuracy, etc and obtained promising results.

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