This paper reviews object detection methods for finding small objects from remote sensing imagery and provides an empirical evaluation of four state-of-the-art methods to gain insights into method performance and technical challenges. In particular, we use car detection from urban satellite images and bee box detection from satellite images of agricultural lands as application scenarios. Drawing from the existing surveys and literature, we identify several top-performing methods for the empirical study. Public, high-resolution satellite image datasets are used in our experiments.

翻译：本文综述了从遥感影像中检测小目标的方法，并对四种最先进的方法进行了实证评估，以深入了解方法性能与技术挑战。特别地，我们以城市卫星影像中的车辆检测和农田卫星影像中的蜂箱检测作为应用场景。基于现有综述与文献，我们筛选出若干性能领先的方法用于实证研究。实验中采用了公开的高分辨率卫星影像数据集。