S&M Young Researcher Paper Award 2020
Recipients: Ding Jiao, Zao Ni, Jiachou Wang, and Xinxin Li [Winner's comments]
Paper: High Fill Factor Array of Piezoelectric Micromachined
Ultrasonic Transducers with Large Quality Factor

S&M Young Researcher Paper Award 2021
Award Criteria
Notice of retraction
Vol. 32, No. 8(2), S&M2292

Print: ISSN 0914-4935
Online: ISSN 2435-0869
Sensors and Materials
is an international peer-reviewed open access journal to provide a forum for researchers working in multidisciplinary fields of sensing technology.
Sensors and Materials
is covered by Science Citation Index Expanded (Clarivate Analytics), Scopus (Elsevier), and other databases.

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S&M2807 Research Paper of Special Issue

Pyramidal Image Segmentation based on U-Net for Automatic Multiscale Crater Extraction

Zhonghua Hong, Ziyang Fan, Ruyan Zhou, Haiyan Pan, Yun Zhang, Yanling Han, Jing Wang, Shuhu Yang, and Yanmin Jin

(Received July 22, 2021; Accepted December 2, 2021)

Keywords: image pyramid, multiscale, crater extraction, moon

To extract craters with radius over 10 km more effectively from lunar digital elevation maps, pyramidal image segmentation based on the U-Net model is proposed, and the conversion relationship between the multilayer image pyramid and the geographic coordinates of the crater is established. The crater image pyramid method ensures full coverage of the study area with a small number of images and that each crater exists in several images with different resolutions. The proposed method can effectively improve the detection performance of large-scale craters and solve the migration problem when stitching together craters from large-scale images. This method recovered 85.48% of the craters with radius more than 10 km in an artificially annotated dataset, found 1044 new craters, and extends the maximum radius of detected craters from 72 km in randomly cropped image segmentation to 200 km. It was estimated by visual interpretation that approximately 82.09% of these new craters are real. Also, the recall reaches 90.17% when the new real craters are added to the true craters.

Corresponding author: Zhonghua Hong, Yanmin Jin




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