MViT-PCD: A Lightweight ViT-Based Network for Martian Surface Topographic Change Detection

被引：0

作者：

Dai, Yuqi ^{[1
,2
]}

Zheng, Tie ^{[1
,2
]}

Xue, Changbin ^{[1
]}

Zhou, Li ^{[1
]}

机构：

[1] Chinese Acad Sci, Natl Space Sci Ctr, Key Lab Elect & Informat Technol Space Syst, Beijing 100190, Peoples R China

[2] Univ Chinese Acad Sci, Sch Comp Sci & Technol, Beijing 100049, Peoples R China

来源：

IEEE GEOSCIENCE AND REMOTE SENSING LETTERS | 2023年 / 20卷

关键词：

Surface topography; Task analysis; Standards; Transformers; Space vehicles; Mars; Feature extraction; Change detection (CD); Mars exploration; Martian surface feature; transformer; unsupervised domain adaptation (UDA);

D O I：

暂无

中图分类号：

P3 [地球物理学]; P59 [地球化学];

学科分类号：

0708 ; 070902 ;

摘要：

Identifying the surface topographic changes accurately plays a vital role in the task of planetary exploration. In this study, a lightweight mobile vision transformer-based planetary image change detection (MViT-PCD) was proposed for monitoring dynamic surface changes using bitemporal images. The mobile vision transformer (MobileViT) was first introduced to make the most of the spatial information available. Subsequently, a multiscale feature differentiation and fusion (MFDF) block was adopted to improve the distinguishability of multilevel contextual information. Moreover, the strategy of information maximization (IM) was integrated to refine the model performance on the heterogeneous dataset. Then, experiments were conducted on the public Martian datasets. Compared with other state-of-the-art (SOTA) methods, the MViT-PCD provides favorable performance, with the highest accuracy of 97.2% and 82.9%, respectively, under the speed of 43.4 frame per second (FPS).

引用

页数：5

共 22 条

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Qi, Zhiyuan ;

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Xi, Dongbo ;

Zhu, Yongchun ;

Zhu, Hengshu ;

Xiong, Hui ;

He, Qing .

PROCEEDINGS OF THE IEEE, 2021, 109 (01) :43-76

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