Enhancing spatial resolution of infrared imagery using overlap of sequence images

Jiahao Cao; Chunlai Li; Jian Jin; Hongzhen Ji; Xudong Zhang; Jianyu Wang

doi:10.1117/12.2228024

4 May 2016 Enhancing spatial resolution of infrared imagery using overlap of sequence images

Jiahao Cao, Chunlai Li, Jian Jin, Hongzhen Ji, Xudong Zhang, Jianyu Wang

Proceedings Volume 9880, Multispectral, Hyperspectral, and Ultraspectral Remote Sensing Technology, Techniques and Applications VI; 98802B (2016) https://doi.org/10.1117/12.2228024
Event: SPIE Asia-Pacific Remote Sensing, 2016, New Delhi, India

Abstract

The high-resolution thermal infrared image, by which the information of a scene can be described in details, is extensively used in many fields including computer vision process, medicine, and remote sensing, etc. This paper introduces a super-resolution reconstruction algorithm in combination of phase related motion estimating algorithm and iterative back-projecting algorithm. Continuous frames of the thermal infrared image aerially shot are extracted, the subpixel displacement of each frame of image relative to the reference image is estimated with the phase related motion estimating algorithm, and then the subpixel displacement data acquired is combined with the iterative back-projecting algorithm to actualize the super-resolution reconstruction of thermal infrared image aerially shot. The thermal infrared images were aerially shot above Zhoushan. The experimental result has proven the image spatial resolution can be effectively improved by this algorithm.

Citation Download Citation

Jiahao Cao, Chunlai Li, Jian Jin, Hongzhen Ji, Xudong Zhang, and Jianyu Wang "Enhancing spatial resolution of infrared imagery using overlap of sequence images", Proc. SPIE 9880, Multispectral, Hyperspectral, and Ultraspectral Remote Sensing Technology, Techniques and Applications VI, 98802B (4 May 2016); https://doi.org/10.1117/12.2228024

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