Object detection in remote sensing images (RSIs) requires the locating and classifying of
objects of interest, which is a hot topic in RSI analysis research. With the development of …

In Earth observation (EO), large-scale land-surface dynamics are traditionally analyzed by
investigating aggregated classes. The increase in data with a very high spatial resolution …

For remote sensing object detection, fusing the optimal feature information automatically and
overcoming the sensitivity to adapt multi-scale objects remains a significant challenge for the …

Deep learning (DL)-based object detection algorithms have gained impressive
achievements in natural images and have gradually matured in recent years. However …

Due to the different shooting angles, altitudes and scenes, remote sensing images contain
many complex backgrounds and multi-scale objects. Moreover, objects in remote sensing …

Due to the multiscale characteristics of ship targets in ORSIs (optical remote sensing
images), ship target detection in ORSIs based on depth learning is still facing great …

In all kinds of applications of optical remote sensing image, object detection has always
been paid more attention by researchers. It has a very wide application prospect in military …

在光学遥感图像的各种应用中, 目标检测历来受到研究人员的重视, 并且在军事和民用方面都有
很广泛的应用前景. 本文综述了基于深度学**的光学遥感图像目标检测算法研究进展. 首先 …

Remote sensing images possess characteristics such as complex backgrounds and a large
number of small targets, making object detection a challenging task. To enhance the …