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Jiafeng Zhang, Guangli Cheng, Jinsong Tang, Haoran Wu and Zhen Tian
Uncompensated motion errors can seriously affect the imaging quality of synthetic aperture sonars (SASs). In the existing line-by-line motion compensation (MOCO) algorithms for wide-beam multiple-receiver SAS systems, the approximate form of the range hi...
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Ting Lu, Jing Wu, Yangchun Lu, Weibo Zhou and Yudong Lu
As a typical desert in the Inner Mongolia Autonomous Region, the Ulan Buh Desert has a dry climate and scarce precipitation all year round. Groundwater has become the main factor limiting the growth of vegetation in this region. It is of great significan...
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Shibiao Fang, Lin Mu, Kuan Liu and Darong Liu
In computer vision, pollutant detection is a highly concerning issue, and it has been widely used in the fields of pollutant identification, tracking, and precise positioning. In the ocean, oil tends to disperse into the water column as droplets under br...
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Song-Hee Kang, Youngjin Choi and Jae Young Choi
In this paper, we propose a novel deep generative inpainting network (GIN) trained under the framework of generative adversarial learning, which is optimized for the restoration of cloud-disturbed satellite sea surface temperature (SST) imagery. The prop...
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Hu Haibing, Xipeng Zheng, Jiajie Yin and Yueyan Wang
Current O-ring dimension measurement algorithms based on machine vision are mainly whole-pixel level algorithms, which have the disadvantage of a low measurement accuracy. In order to improve the stability and accuracy of O-ring dimension measurement, a ...
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