Background: During the process of extracting three-dimension (3D) dynamic characteristics
of remote sensing image, the extraction effect is vulnerable to be influenced by gray value and gradient
of remote sensing image. When the traditional algorithm is used in extracting 3D dynamic
characteristics of remote sensing image, due to the changes of pixel gray value and gradient in remote
sensing image, pixel weights are interfered, and the traditional algorithm is unable to tract the change of
picture element, resulting in poor extraction effect of 3D characteristics.
Method: For this, a method for 3D dynamic characteristics extraction of remote sensing images is proposed
based on optical flow analysis. 3D space information of reflection point is extracted from remote sensing image
sequence as the basis of 3D dynamic feature extraction. The change of picture element in every frame of remote
sensing image is tracking, to establish the corresponding relation of picture element and remote sensing images,
so as to achieve the extraction of target image 3D dynamic feature.
Result: Simulation experimental results show that the improved algorithm can extract 3D dynamic
characteristics from remote sensing images accurately, and the effect is satisfactory.