جستجوی مقالات مرتبط با کلیدواژه « تصویر هوایی » در نشریات گروه « جغرافیا »

Generally, the photos captured by drones and satellites include both natural scenes and man-made objects. Having these two categories classified, we will be able to extract important information from aerial scenes such as the shapes and the alignments of the structures and then, create labeled aerial images accordingly. Obtaining such information is of great interest in, for example, military, urban, and environmental protection applications. However, due to a huge amount of data that is collected in form of images, it seems that manually processing of such data is impossible. Therefore, employing automatic techniques based on artificial intelligence has become more on demand. There are numerous researches on this topic from which detection of buildings, vehicles, roads, and vegetation are of more interest. In this paper, we aim to introduce a method to detect man-made objects in aerial images based on a new set of color statistical features, which can be easily extracted, together with a learning model. Experimental results on a publicly available dataset, Massachusetts dataset, have shown promising results in terms of both accuracy and processing time; the accuracy and the average processing time are 90.07% and 0.96 seconds, respectively.

Urmia, the provincial city of West Azarbaijan, is considered as the tenth largest city of Iran and the second in north-west. The city of Urmia as the other large towns has experienced considerable structural changes in its traditional and old context. It is to admit that reaching a more detailed and comprehensive knowledge of the changes and the factors behind could very well help the managers and related programmers to solve the current problems of the city and be able to achieve a more healthy and sustainable city in present and future. An efficient way to understand the changes in physical body of the city is to carry out comparative study of various aerial images happily produced and archived by the national geographical organization. But one important problem that for such studies exists is the loss of coordinated and geo-referenced images which makes the comparative study particularly for a given spots and in detailed cases hard and impossible.