Omnidirectional search mechanism variogram based optimal remote sensing scale selection method

Abstract

The invention relates to an omnidirectional search mechanism variogram based optimal remote sensing scale selection method, which comprises the following steps of: firstly, selecting a research area by using an obtained remote sensing image; then, calculating corresponding variogram values of the remote sensing image at different space intervals in each direction by using an omnidirectional search algorithm; on this basis, establishing a curvilinear relation between the space intervals and the variogram values of the space intervals, and then solving a corresponding local optimal space scale of the remote sensing image in each direction based on the spherical model regression fitting in a variogram model; and finally, taking the local optimal space scale corresponding to the direction with the maximum degree of fitting as the optimal space scale of the remote sensing image. By using the method disclosed by the invention, the problem of 'false' local optimal scales caused by that when a traditional variogram algorithm is used, in the process of selecting the optimal space scale of a remote sensing image, only an isotropic factor is taken into consideration is solved, thereby improving the accuracy of optimal scale selection.

Description

technical field [0001] The invention belongs to the technical field of land utilization, in particular to an optimal remote sensing scale selection method based on variation function of omnidirectional search mechanism. Background technique [0002] Land use change is an important field and hot issue in global change research in recent years. Land use change is regional and hierarchical. The spatial distribution and structural characteristics of land use change will be different in different research areas and observation scales. Therefore, it is very necessary to select remote sensing images with the optimal spatial scale to study land use change in a specific research area. [0003] In terms of optimal scale selection, many scholars have done a lot of work and achieved certain results. Judging from the current optimal scale selection methods of remote sensing images at home and abroad, they mainly focus on the average local variance method (Local Variance) and variation ...

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Problems solved by technology

[0004] At present, according to literature statistics, although many scholars at home and abroad have applied variograms to the selection of the optimal spatial scale of remote sensing images, due to the lack of improvement of these traditional general variogram algorithms, these algorithms have computational limitations on the one hand. The process is complicated, and on the other hand, it does not consider that the ground objects have not only the spatial correlation of distance, but also the correlation of direction, which leads to the calculation of the optimal scale is not very accurate.

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