Corpus ID: 15120590

OBJECT-ORIENTED IMAGE CLASSIFICATION OF INDIVIDUAL TREES USING ERDAS IMAGINE OBJECTIVE: CASE STUDY OF WANJOHI AREA, LAKE NAIVASHA BASIN, KENYA

@inproceedings{Chepkochei2011OBJECTORIENTEDIC,
  title={OBJECT-ORIENTED IMAGE CLASSIFICATION OF INDIVIDUAL TREES USING ERDAS IMAGINE OBJECTIVE: CASE STUDY OF WANJOHI AREA, LAKE NAIVASHA BASIN, KENYA},
  author={L. Chepkochei},
  year={2011}
}
  • L. Chepkochei
  • Published 2011
  • Geography
  • Object-Oriented Image Classification method is a useful and promising method of classifying objects from high resolution satellite images. The method segments the image pixel into objects and utilizes the texture and contexture information of the object rather than only using spectral information relied upon by traditional methods. This paper, using high resolution multispectral satellite imagery from WorldView-2, sought to explore ways to extract accurate trees of varying crown sizes. IMAGINE… CONTINUE READING

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