IMPROVING PER-PIXEL CLASSIFICATION OF CROP-SHELTER COVERAGE BY TEXTURE ANALYSES OF HIGH-RESOLUTION SATELLITE PANCHROMATIC IMAGES

Actual research challenges in automated recognition of crop shelters regard, among other issues, the accuracy of classification, contour detection and typology identification. In this field the use of high-resolution multispectral images has been found to improve the feature recognition in compariso...

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Bibliographic Details
Main Authors: Claudia Arcidiacono, Simona M.C. Porto
Format: Article
Language:English
Published: PAGEPress Publications 2012-06-01
Series:Journal of Agricultural Engineering
Subjects:
Online Access:http://www.agroengineering.org/index.php/jae/article/view/21