Open AccessUAV Remote Sensing Method for Extracting Feature Points of Aerial Photos After Fast Geolocation
Author(s) -
Zhiwei Wang,
Wen Zhang,
Zhong Li,
Xuelian Song,
Xirui Ruan
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/782/5/052011
Subject(s) - geolocation , aerial photos , geographic coordinate system , drone , feature (linguistics) , longitude , aerial survey , aerial photography , remote sensing , computer science , aerial image , latitude , zoom , geography , computer vision , artificial intelligence , cartography , geodesy , geology , image (mathematics) , world wide web , linguistics , philosophy , biology , petroleum engineering , genetics , lens (geology)
With the rapid development of 3S and drone technology, the size of existing aerial data is getting larger and larger. Therefore, there is an urgent need for a method for quickly geo-locating feature points of aerial photographs. This article aims at the above situation through the following 5 steps to achieve: modify the name of aerial photos, unified aerial photos in a separate folder, extract aerial photo center latitude and longitude information, match aerial photos to the location of longitude and latitude information and identify the type of feature and mark. Finally, it was found that after positioning using the above steps of this method, subsequent operations will save more than 70% of the time.