Title :
A Gravity Gradient Differential Ratio Method for Underwater Object Detection
Author :
Zu Yan ; Jie Ma ; Jinwen Tian ; Hai Liu ; Jingang Yu ; Yun Zhang
Author_Institution :
Nat. Key Lab. of Sci. & Technol. on Multi-spectral Inf. Process. Technol., Huazhong Univ. of Sci. & Technol., Wuhan, China
Abstract :
The smooth operation of autonomous underwater vehicles (AUVs) relies heavily on the accurate detection of surrounding objects. Toward this end, this letter presents a novel method for underwater object detection based on the gravity gradient differential and the gravity gradient differential ratio caused by the relative motion between the AUV and the object. Unlike the existing techniques, the proposed method works in a passive manner and achieves AUV invisibility without energy emission. In addition, for the proposed method, no gravity map or gravity gradient map is required, which improves its practicality. Experimental results demonstrate that the proposed method performs better than the existing methods.
Keywords :
autonomous underwater vehicles; gravity; object detection; oceanographic equipment; oceanographic techniques; sensors; AUV; autonomous underwater vehicle; energy emission; gravity gradient differential ratio method; gravity gradient map; underwater object detection; Equations; Gravity; Mathematical model; Noise; Object detection; Remote sensing; Underwater vehicles; Gravity gradient differential ratio (GGDR); gravity gradient measurement; underwater object detection;
Journal_Title :
Geoscience and Remote Sensing Letters, IEEE
DOI :
10.1109/LGRS.2013.2279485