Through-Foliage Tracking with Airborne Optical Sectioning  

作　　者：Rakesh John Amala Arokia Nathan Indrajit Kurmi David C.Schedl Oliver Bimber 

机构地区：[1]Institute of Computer Graphics,Johannes Kepler University Linz,Linz,Austria [2]University of Applied Sciences Upper Austria,Hagenberg,Austria

出　　处：《Journal of Remote Sensing》2022年第1期234-243,共10页国际遥感学报（英文）

基　　金：This research was funded by the Austrian Science Fund(FWF)under grant number P 32185-NBL and by the State of Upper Austria and the Austrian Federal Ministry of Education,Science and Research via the LIT–Linz Institute of Technology under grant number LIT-2019-8-SEE-114.

摘　　要：Detecting and tracking moving targets through foliage is difficult,and for many cases even impossible in regular aerial images and videos.We present an initial light-weight and drone-operated 1D camera array that supports parallel synthetic aperture aerial imaging.Our main finding is that color anomaly detection benefits significantly from image integration when compared to conventional raw images or video frames(on average 97%vs.42%in precision in our field experiments).We demonstrate that these two contributions can lead to the detection and tracking of moving people through densely occluding forest.

关 键 词：FRAMES MOVING IMAGE 

分 类 号：O43[机械工程—光学工程]