Pixel and object based for tree extraction by ALOS data
نویسنده
چکیده
Juniperus excelsa subsp. Polycarpos, which Iranians known as the Persian juniper located in the northeast of Iran.ALOS satellite using multispectral band (AVNIR-2) with 10-meter resolution and Panchromatic band (PRISM) with 2.5-meter resolution has been used.Two kinds of method (pixel and object) for tree extraction have been calculated. Object orientedSupport Vector Machine (SVM) algorithm has been applied. Subsequently the coefficient regression between tree number from above methods, ground data and vegetation indices has been calculated. Finally, the relationship between tree number from field surveying and vegetation indices from ALOS analyzed has been estimated. Result showed the simple coefficient regression between data observed and vegetation indices (VIs) on each plot have been evaluated. The results showed the coefficient regression of NDVI, TRVI, OSAVI, SAVI (1), SAVI (0.5) and MSAVI were (R 2 = 0.59, 0.66, 0.62, 0.62, 0.63 and 0.59) respectively.
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