High-resolution remote-sensing multifunctional urban land spatial information generation method

Abstract

The invention discloses a high-resolution remote-sensing multifunctional urban land spatial information generation method. According to the method, a complex system rank theory is introduced; an urban land spatial information classification system with three rank scales, i.e. a multifunctional target landscape type, a functional area type and a land cover type, which self-adapts to urban planningmanagement and environmental renovation, is proposed; and on the basis of realizing the treatment of fine correction and alignment on remote-sensing images of a Landsat TM, a Google Earth and auxiliary maps, the Landsat TM is applied to carrying out urban landscape type classification, a three-level rank classification type-merged combination and an information mining knowledge base are constructed, the classified information is merged to form a first-level classification result of urban land, the digital functional areas are classified into a second level and the land cover is classified into a third level under the constrained control of higher-level classification information. The method has the characteristics of low cost, high accuracy of classification and strong targeted application, and thus, the requirements on target applications, such as ecological urban design, urban environmental management and the like, are better met.

Description

technical field [0001] The invention belongs to the application field of remote sensing information technology used in the urban planning industry, and focuses on solving the problem of high-precision acquisition of spatial data of multi-functional objects, and realizes the problem of high-precision urban land use spatial information detection. It is mainly used in urban planning, overall planning of land use, Land survey and urban ecological environment improvement. Background technique [0002] From the first satellite Landsat-1 launched by the United States in 1972 to the latest Landsat-7, it has laid the foundation for human urban remote sensing research, providing new methods and means for human beings to understand the earth from multiple perspectives and scales. Landsat TM The image has high spatial resolution, spectral resolution, extremely rich information and high positioning accuracy, which can meet the analysis and compilation of special topics related to agricul...

AI Technical Summary

Problems solved by technology

The current spatio-temporal information detection of urban land use for complex structures is still based on the traditional method of combining a large number of field surveys with remote sensing, which is difficult to meet the application requirements of efficiency and practicability

Due to the hierarchical scale characteristics and complexity of the city's internal structure, it is difficult to meet the needs of urban multi-objective planning and management in the current urban land use classification. A multi-functio

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