Segmentation of Low-Cost Remote Sensing Images Combining Vegetation Indices and Mean Shift

IEEE Geoscience and Remote Sensing Letters, pp. 67-70, 2013.

Cited by: 34|Bibtex|Views4|DOI:https://doi.org/10.1109/LGRS.2012.2193113
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Other Links: academic.microsoft.com|dblp.uni-trier.de

Abstract:

The development of low-cost remote sensing systems is important in small agriculture business, particularly in developing countries, to allow feasible use of images to gather information. However, images obtained through such systems with uncalibrated cameras have often illumination variations, shadows, and other elements that can hinder ...More

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