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Proceedings Paper

Height-adaptive vehicle detection in aerial imagery using metadata of EO sensor
Author(s): Seongjo Kim; Won Yeong Heo; HyunSeong Sung; DeukRyeol Yoon; Jongmin Jeong
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Paper Abstract

Detecting targets in aerial imagery plays an important role in military reconnaissance and defense. One of the main difficulties in aerial imagery detection at a wide range of height is instability that detection is performed well only to the test data obtained at the same height range with the training data. To solve this problem, we utilize the sensor metadata to calculate GSD (Ground Sample Distance) and pixel size of the vehicle in our test images which are dependent on height. Based on this information, we estimate the optimal ratio for image preprocessing and adjust it to the test images. As a result, it detects the vehicles taken at a range of 100m to 300m with a higher F1-score than other approach which doesn’t consider the metadata.

Paper Details

Date Published: 24 April 2020
PDF: 6 pages
Proc. SPIE 11394, Automatic Target Recognition XXX, 1139404 (24 April 2020);
Show Author Affiliations
Seongjo Kim, Agency for Defense Development (Korea, Republic of)
Won Yeong Heo, Agency for Defense Development (Korea, Republic of)
HyunSeong Sung, Agency for Defense Development (Korea, Republic of)
DeukRyeol Yoon, Agency for Defense Development (Korea, Republic of)
Jongmin Jeong, Agency for Defense Development (Korea, Republic of)


Published in SPIE Proceedings Vol. 11394:
Automatic Target Recognition XXX
Riad I. Hammoud; Timothy L. Overman; Abhijit Mahalanobis, Editor(s)

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