BibTeX:

@article{IJIRSTV1I4058,
     title={An Approach to Classify the Object from the Satellite Image using Image Analysis Tool},
     author={Parivallal R., Dhivya Bharathi L., Elang K., Karthik T. and Nagarajan B.},
     journal={International Journal for Innovative Research in Science & Technology},
     volume={1},
     number={4},
     pages={83--87},
     year={},
     url={http://www.ijirst.org/articles/IJIRSTV1I4058.pdf},
     publisher={IJIRST (International Journal for Innovative Research in Science & Technology)},
}

Building objects area classification is one of the main procedures used in updating digital maps and geographic information system databases. It is an active research field in computer vision and remote sensing. Full automatic systems in this field are not yet operational and cannot be implemented in a single step. In this paper, we present a semi-automatic building object classification using Envi tool, object-based classification in Google map images applied to Sathyamangalam city (INDIA). The Envi tool, object-based classification approach follows the standard scheme of object-based image classification, which is discussed in this paper. The results obtained show an overall objects (like building, trees and roads) area detection of good percentage, when the parameters are properly adjusted and adapted to the type of areas considered.

Very high resolution multispectral images, Building extraction, Object-based classification