Data augmentation method of remote sensing image based on transfer learning and VGG model

Zhongjie Deng; Zhenghong Dong; Fan Yang; Lurui Xia

doi:10.1117/12.2579817

5 November 2020 Data augmentation method of remote sensing image based on transfer learning and VGG model

Zhongjie Deng, Zhenghong Dong, Fan Yang, Lurui Xia

Proceedings Volume 11565, AOPC 2020: Display Technology; Photonic MEMS, THz MEMS, and Metamaterials; and AI in Optics and Photonics; 115650V (2020) https://doi.org/10.1117/12.2579817
Event: Applied Optics and Photonics China (AOPC 2020), 2020, Beijing, China

Abstract

When the human visual system processes the optical image, it will use the salient features of the target and transfer learning to perform deep processing to improve the accuracy of target recognition.The vision system can quickly transfer the existing experience to interpret the target image information, so that humans can recognize the external environment. This mechanism of applying a priori knowledge for image processing of new targets is transfer learning.This image processing method can be applied to the field of high-resolution remote sensing image processing.This paper proposes to use the transfer learning of remote sensing images and utilize the VGG model to expand the data to improve the accuracy of remote sensing image recognition tasks.In terms of innovative methods, it is proposed to use the training samples processed by the style transfer algorithm as the input of the convolutional neural network classification model, which can guide the model to learn more prior knowledge information than the data.In the algorithm design, the network parameters such as the training input, network structure, matrix expansion method and convolution kernel scale of the traditional VGG network were adjusted and optimized.The recognition accuracy experiments were conducted using CIFAR10 and DOTA datasets, and Google Earth was used.The results of random remote sensing images are verified.

Citation Download Citation

Zhongjie Deng, Zhenghong Dong, Fan Yang, and Lurui Xia "Data augmentation method of remote sensing image based on transfer learning and VGG model", Proc. SPIE 11565, AOPC 2020: Display Technology; Photonic MEMS, THz MEMS, and Metamaterials; and AI in Optics and Photonics, 115650V (5 November 2020); https://doi.org/10.1117/12.2579817

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available