TY  - JOUR
TI  - Multi-Scale Aircraft Detection from Satellite Images
AB  - Satellite image analysis is a research area in which many research studies are carried out for civil and military applications in the field of image processing. Satellite imagery has many applications including recognition, detection and classification of regions, buildings, roads, aircraft and other man-made objects. Among these, especially aircraft detection is strategically important for military applications, and forms the basis of this study. In the first phase of the study, a new dataset of aircrafts is created from Google Earth images to compensate the shortage of data set in this area. In the second stage, the detection of air vehicles was carried out using algorithms based on Convolutional Neural Network (CNN). Region-based Fully Convolutional Network (R-FCN), Single Shot Multi Box Detector (SSD) and Faster R-CNN methods are used for this process. The obtained accuracy rate for R-FCN, SSD and Faster R-CNN are 98.01%, 69.71% and 96.56%, respectively.
AU  - OZBEK, IBRAHIM YÜCEL
AU  - Mohammed, Hussein M. A.
AU  - POLAT, MERVE
AU  - ALI TAHLIL, Abdullatif
DO  - 10.18185/erzifbed.891322
PY  - 2021
JO  - Erzincan Üniversitesi Fen Bilimleri Enstitüsü Dergisi
VL  - 14
IS  - 1
SN  - 1307-9085
SP  - 322
EP  - 330
DB  - TRDizin
UR  - http://search/yayin/detay/479138
ER  -