Joint gravity and gravity gradient inversion for subsurface object detection
L Wu, X Ke, H Hsu, J Fang, C Xiong… - IEEE Geoscience and …, 2012 - ieeexplore.ieee.org
L Wu, X Ke, H Hsu, J Fang, C Xiong, Y Wang
IEEE Geoscience and Remote Sensing Letters, 2012•ieeexplore.ieee.orgA novel approach of joint gravity and gravity gradient inversion is presented for passive
subsurface object detection in this letter. Gravity and gravity gradient anomalies induced by
an object can be measured and inversed to estimate the mass, orientation, and distance of
the object. The new equations of gravity inversion are explored, and the weighted least
squares estimation is constructed. Therefore, the two kinds of data are complementary to
each other in the joint inversion via the self-adaptive weights. Simulation results show that …
subsurface object detection in this letter. Gravity and gravity gradient anomalies induced by
an object can be measured and inversed to estimate the mass, orientation, and distance of
the object. The new equations of gravity inversion are explored, and the weighted least
squares estimation is constructed. Therefore, the two kinds of data are complementary to
each other in the joint inversion via the self-adaptive weights. Simulation results show that …
A novel approach of joint gravity and gravity gradient inversion is presented for passive subsurface object detection in this letter. Gravity and gravity gradient anomalies induced by an object can be measured and inversed to estimate the mass, orientation, and distance of the object. The new equations of gravity inversion are explored, and the weighted least squares estimation is constructed. Therefore, the two kinds of data are complementary to each other in the joint inversion via the self-adaptive weights. Simulation results show that the proposed approach is more efficient and robust than the previous gravity gradient tensor inversion.
ieeexplore.ieee.org
以上显示的是最相近的搜索结果。 查看全部搜索结果