An Useful Information Extraction using Image Mining Techniques from Remotely Sensed Image (RSI)

Journal Title: International Journal on Computer Science and Engineering - Year 2010, Vol 2, Issue 8

Abstract

Information extraction using mining techniques from remote sensing image (RSI) is rapidly gaining attention among researchers and decision makers because of its potential in application oriented studies. Knowledge discovery from image poses many interesting challenges such as preprocessing the image data set, training the data and discovering useful image patterns applicable to many new application frontiers. In the image rich domain of RSI, image mining implies the synergy of data mining and image processing technology. Such culmination of techniques renders a valuable tool in information extraction. Also, this encompasses the problem of handling a larger data base of varied image data formats representing various levels of information such as pixel, local and regional. In the present paper, various preprocessing corrections and techniques of image mining are discussed.

Authors and Affiliations

Dr. C. Jothi Venkateswaran , S. Murugan , Dr. N. Radhakrishnan

Keywords

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  • EP ID EP124256
  • DOI -
  • Views 118
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How To Cite

Dr. C. Jothi Venkateswaran, S. Murugan, Dr. N. Radhakrishnan (2010). An Useful Information Extraction using Image Mining Techniques from Remotely Sensed Image (RSI). International Journal on Computer Science and Engineering, 2(8), 2577-2580. https://europub.co.uk/articles/-A-124256