Open AccessResearch on Remote Sensing Image Target Detection Methods Based on Convolutional Neural Networks
Author(s) -
Haiwen Chen,
Lu Wang,
Lei Zhang,
Yanping Li,
Yuting Wu,
Jun Qi
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/2025/1/012068
Subject(s) - computer science , remote sensing , convolutional neural network , image (mathematics) , artificial intelligence , computer vision , geography
Remote sensing image is extremely important for the study of natural and social phenomena and environmental analysis, remote sense image with a complex background, the goal is relatively small, arbitrary direction and disordered distribution, difficult access to information. With the continuous development of convolutional neural networks, great achievements have been made in target detection on natural images, which provides a good solution for obtaining remote sensing image information. How to improve the existing detection algorithms to make them more suitable for the characteristics of remote sensing images has become the main research direction in the current exploration of remote sensing image information. This paper reviews the existing research results of target detection on remote sensing images in detail, and finally looks forward to the future research directions of target detection methods in remote sensing images.