Height-adaptive vehicle detection in aerial imagery using metadata of EO sensor

Seongjo Kim; Won Yeong Heo; HyunSeong Sung; DeukRyeol Yoon; Jongmin Jeong

doi:10.1117/12.2554376

24 April 2020 Height-adaptive vehicle detection in aerial imagery using metadata of EO sensor

Seongjo Kim, Won Yeong Heo, HyunSeong Sung, DeukRyeol Yoon, Jongmin Jeong

Proceedings Volume 11394, Automatic Target Recognition XXX; 1139404 (2020) https://doi.org/10.1117/12.2554376
Event: SPIE Defense + Commercial Sensing, 2020, Online Only

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.

Conference Presentation

Citation Download Citation

Seongjo Kim, Won Yeong Heo, HyunSeong Sung, DeukRyeol Yoon, and Jongmin Jeong "Height-adaptive vehicle detection in aerial imagery using metadata of EO sensor", Proc. SPIE 11394, Automatic Target Recognition XXX, 1139404 (24 April 2020); https://doi.org/10.1117/12.2554376

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