期刊名称：International Journal of Advanced Research in Computer Engineering & Technology (IJARCET)
印刷版ISSN：2278-1323
出版年度：2014
卷号：3
期号：12
页码：4277-4282
出版社：Shri Pannalal Research Institute of Technolgy
摘要：The aim of object detection is to first localise and then characterise the objects in an images. It is one of the fundamental aspects of scene understanding. The utilization of satellite images nowadays days have been very wide. They give detailed information about the features exhibit in an image[1]. High Resolution Satellite images is used as the automatic feature extraction of features such as buildings, roads, vegetation etc also incorporates collapses. Automated Object Recognition is needed as the execution of a machine is superiorthan the performance of human as their performance degrades with increasing number of targets, whereas the performance of a machine does not depend on the size of set of targets. Also, the performance of a machine does not degrade due to fatigue caused by prolonged effort. A lot of examination is consistently performed to advance this field and to enhance the capability and robustness of object detection systems. So, in this paper we will survey these object detection techniques.
