A Count of Palm Trees from Satellite Image
الباحث الأول:
Contemporary Engineering Sciences, Vol. 11, 2018, no. 74, 3663 - 3672
المجلة:
HIKARI Ltd, www.m-hikari.com
تاريخ النشر:
None
مختصر البحث:
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
p…
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 the number of palms in any field shown in the satellite image. This method
is useful in counting the number of palm trees for commercial, agricultural or
environmental purposes. It is also can be applied to high resolution satellite
imagery such as QuickBird because the resolution of the images is 0.6 meters.
Less accurate images such as the 10-meter SPOT do not show the interior
shadows of the top view of the palm enough, nor the accurate satellites (5 meters),
while the interior shadows appear in high-resolution images only (0.6 meters) or
below. It can also be applied to aerial images of less capacity because they are
more accurate of course. Satellite images can be obtained free from Google Earth
explorer, which can be downloaded free from the Google web site. It connects the
user to a global database of high resolution images for all regions of the world.
