Photogrammetric Analysis of Images Acquired by an UAV

被引：0

作者：

Diaz-Cabrera, Moises ^{[1
]}

Cabrera-Gamez, Jorge ^{[1
]}

Aguasca-Colomo, Ricardo ^{[1
]}

Miatliuk, Kanstantsin ^{[2
]}

机构：

[1] Univ Las Palmas Gran Canaria, Las Palmas Gran Canaria, Spain

[2] Bialystok Tech Univ, Automat & Robot Dept, Bialystok, Poland

来源：

COMPUTER AIDED SYSTEMS THEORY, PT II | 2013年 / 8112卷

关键词：

keypoints detectors; local descriptors; mapping; aerial photography; Unmanned Aerial Vehicles (UAV);

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Processing of aerial imagery is a broadly topic discussed nowadays. An Unmanned Aerial Vehicles (UAV) developed in our laboratory was used as experimental platform for the present research. An analysis of the possible application of SURF feature-based algorithm to match outdoor images is introduced. Experimental data comprise selected images taken from different heights (100 and 150 m), different lighting conditions, different pitch, roll and yaw angles, among others effects. The obtained results are validated by using low cost equipment and a low quality video sequence.

引用

页码：109 / 116

页数：8

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