关键词: 目标检测, 遥感影像, 知识, 卷积神经网络

Abstract:

Target detection is an important part of the intelligent interpretation of remote sensing images and a key link in converting images into information. The knowledge-based method is the traditional method of remote sensing image target detection, and the deep learning method based on convolutional neural network is the mainstream method that has gradually emerged in recent years and is rapidly applied on a large scale. This paper introduces the methods based on geometric knowledge, context knowledge, auxiliary knowledge, and comprehensive knowledge, as well as one-stage and two-stage convolutional neural network methods, focusing on the new method of joint knowledge and convolutional neural network. In addition, three specific application forms such as improving remote sensing image data sets, adjusting algorithm network framework, and achieving target context reasoning are introduced in detail. The remote sensing image target detection method based on the joint knowledge and convolutional neural network method is prospected.

Key words: target detection, remote sensing image, knowledge, convolutional neural network