1 research outputs found
An Efficient Method of Detection and Recognition in Remote Sensing Image Based on multi-angle Region of Interests
Presently, deep learning technology has been widely used in the field of
image recognition. However, it mainly aims at the recognition and detection of
ordinary pictures and common scenes. As special images, remote sensing images
have different shooting angles and shooting methods compared with ordinary
ones, which makes remote sensing images play an irreplaceable role in some
areas. In this paper, based on a deep convolution neural network for providing
multi-level information of images and combines RPN (Region Proposal Network)
for generating multi-angle ROIs (Region of Interest), a new model for object
detection and recognition in remote sensing images is proposed. In the
experiment, it achieves better results than traditional ways, which demonstrate
that the model proposed here would have a huge potential application in remote
sensing image recognition.Comment: 4 pages, 3 figure