A Count of Palm Trees from Satellite Image
Emad Ali Al-helaly, Noor Ali Al-Helaly

TL;DR
This paper presents a method to count palm trees from high-resolution satellite images by exploiting their distinctive top-view shape and shadows, enabling accurate agricultural and environmental assessments.
Contribution
The study introduces a novel image processing technique that accurately identifies and counts palm trees using their unique shape and shadow features in satellite imagery.
Findings
Effective in high-resolution images like QuickBird (0.6m)
Less accurate with lower resolution images like SPOT (10m)
Applicable to aerial images and free satellite data from Google Earth
Abstract
In this research the number of palm trees was calculated from the satellite image programmatically, taking advantage of the accuracy of the spatial resolution of satellite image, the abilities of software recognition, and characteristics of the palm tree, which give it a systematic top view can be distinguished from the satellite image and the manner of cultivation and vertical growth and stability form for long periods of time. While other trees are irregular in shape mostly because of their twisted branches. Palm trees consist of a long stem, a large head, and a large flare that is almost circular and consists of large tufts. The palms have large self-shadows other than ordinary leaves. The large shadows and the circular shape of the upper view give it a special feature that we could use to design a program that distinguishes the shape of the palm without all the trees. Then it counts…
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