ISSN : 2319-7323




INTERNATIONAL JOURNAL OF COMPUTER SCIENCE ENGINEERING


Open Access

ABSTRACT

Title : Analysis of Diverse Land-Cover Classification Techniques
Authors : S.Vidhya, K.Anuja, S.Gayathri Devi, R.Keerthana, C.Neethu
Keywords : Classification, Land Cover Classification, Remote Sensing, Spatial Data mining, Association, Visualization, Image Mining.
Issue Date : March 2015
Abstract : From the past epoch, there have been great hard work and researches are undertaken for mounting land-cover classification in data mining. Whereas the essential uses of the remotely-sensed images is for mainly land-cover classification, for the purpose of applications like monitoring the forest and agricultural areas. Through remote sensing technology an extensive diversity of digital imagery is used to cover the majority of earth’s surface. Researches and studies on information extraction are still comparatively frail. Notwithstanding the significant possible established by techniques for land-cover classification, enhancements are made obligatory for attaining the acceptable performance. For getting the most out of benefits of such data, automatic and well-organized classification approaches are considered necessarily. Generally remote sensing image classification can be seen as a joint venture together for techniques like image processing and classification. In this survey diverse collection of land-cover image classification techniques are illustrated along with their prominent features.
Page(s) : 67-72
ISSN : 2319-7323
Source : Vol. 4, No.2