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Paper Information

Journal:   REMOTE SENSING & GIS   FALL 2010 , Volume 2 , Number 3; Page(s) 103 To 116.
 
Paper: 

AUTOMATIC TREE COUNTING USING HIGH RESOLUTION SATELLITE IMAGERY AND MORPHOLOGICAL OPERATORS

 
 
Author(s):  FATEMI S.B.*, MOBASHERI M.R., VARSHOSAZ M.
 
* REMOTE SENSING DEP., FACULTY OF GEODESY AND GEOMATICS, K.N. TOOSI UNIVERSITY OF TECHNOLOGY, VALIASR AND MIRDAMAD BLV. CROSS, TEHRAN, IRAN
 
Abstract: 

One of the major applications of high resolution satellite imagery is planning for the green areas in urban management. The number of trees and their attributes play a major role in urban green area management. Traditional methods used for counting the trees are too time - consuming and costly where usually are subject to error due to the human mistakes where in many cases it will come up with no spatial data. In this research, a new method is developed which uses high resolution satellite images. In this case study, a Panchromatic and a multispectral image of Quick bird from Bandar Abbas city, Iran, is used. There are various arrangements of the trees like dense groups, row of trees and individual trees in the study area. The most of them are ten years old and more. The Panchromatic and the multispectral images are fused and a NDVI map is produced. The potential seeds of the tree positions are then obtained applying a couple of morphological operators including Erosion and Regional Max. The result is, finally, adjusted by eliminating duplicated points and non-tree points. The method output shows good correlation with the ground truth data with an accuracy of about 90%.

 
Keyword(s): COUNTING THE TREES, MORPHOLOGICAL OPERATORS, REMOTE SENSING
 
References: 
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