Closely Spaced Objects Super-resolution Method Using Array Camera Images

AN Chengjin; YANG Jungang; LIANG Zhengyu; CHEN Qianyu; ZENG Yaoyuan; AN Wei

doi:10.11999/JEIT230810

Volume 45 Issue 11

Nov. 2023

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Article Navigation > Journal of Electronics & Information Technology > 2023 > 45(11): 4050-4059

AN Chengjin, YANG Jungang, LIANG Zhengyu, CHEN Qianyu, ZENG Yaoyuan, AN Wei. Closely Spaced Objects Super-resolution Method Using Array Camera Images[J]. Journal of Electronics & Information Technology, 2023, 45(11): 4050-4059. doi: 10.11999/JEIT230810

Citation:

AN Chengjin, YANG Jungang, LIANG Zhengyu, CHEN Qianyu, ZENG Yaoyuan, AN Wei. Closely Spaced Objects Super-resolution Method Using Array Camera Images[J]. Journal of Electronics & Information Technology, 2023, 45(11): 4050-4059. doi: 10.11999/JEIT230810

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Closely Spaced Objects Super-resolution Method Using Array Camera Images

doi: 10.11999/JEIT230810

College of Electronic Science and Technology, National Unibersity of Defense Technology, Changsha 410073, China

Funds: The National Natural Science Foundation of China (61921001), The Research Funding of Satellite Indormation Intelligent Processing and Application Research Laboratory (2022-ZZKY-JJ-14-01)

Received Date: 2023-08-01
Rev Recd Date: 2023-09-27

Available Online: 2023-10-10

Publish Date: 2023-11-28

Abstract

Abstract

The aerial targets are usually far from the imaging system, making the imaged results have weak radiation intensity and limited imaging area. Especially when aerial target groups are distributed in a dense form, make further the imaged results have overlapping projection of such dense targets, and limit the performance of subsequent detection, track, and identification tasks. The array camera imaging system can provide complementary information about the target from multiple views and make effectively up for the deficiency of a single camera in detecting the resolution of nearby aerial targets. In this paper, the geometric relationship between nearby aerial targets and array cameras is studied and a super-resolution method for nearby targets based on sparse reconstruction of array camera images is proposed. Thanks to the prior assumption of sparsity of nearby aerial targets on the image plane and the transfer constraints between multiple views of array cameras regarding the target, relevant simulation experiments show that the proposed method can well super-resolve the obtained images of nearby targets and estimate effectively the position and number of nearby aerial targets.
- Array camera,
- Closely spaced objects,
- Super-resolution,
- Sparse reconstruction

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References(15)

References

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