Active and passive remote sensing data-based rural residential land extraction method

Abstract

The invention discloses an active and passive remote sensing data-based rural residential land extraction method. The method comprises the following steps: (1) acquiring data and preprocessing; (2) calculating a normalized differential vegetation index; (3) calculating a normalized difference build-up index; (4) calculating a POLSAR (Polarimetric Synthetic Aperture Radar) dihedral angle scattering component; (5) performing maximum likelihood classification. According to the method, the optical remote sensing and microwave remote sensing information are comprehensively applied, the difference between ground and an object can be more fully embodied through supplementation of advantages and disadvantages of the two kinds of remote sensing information, and the accuracy for rural residential land extraction is greatly improved.

Description

technical field [0001] The invention relates to remote sensing image processing technology, in particular to a method for extracting land for rural residential areas based on active and passive remote sensing data. Background technique [0002] Extracting the land use distribution and construction scale of rural residential areas is of great significance for saving cultivated land, rationally developing and utilizing land resources, improving rural ecological environment, promoting urbanization development, and building new countryside. Remote sensing technology is based on physical means, mathematical methods and geographical analysis. It is a comprehensive application technology that can identify and extract surface information macroscopically, dynamically and quickly. Using remote sensing technology to extract information on urban and rural residential areas and building land has been extensively studied at home and abroad. The land used for rural settlements is small in...

AI Technical Summary

Problems solved by technology

Existing studies still have some deficiencies in the extraction of rural residential land: in medium-resolution optical images, the unused land and fallow bare land around rural residential areas have similar spectra to the residential land, resulting in the confusion of different objects with the same spectrum. Minute

From the perspective of scattering mechanism, POLSAR images can accurately distinguish between bare land and rural residential land, but it is difficult to distinguish rural residential land from surrounding forest land during extraction due to the low height of rural residential areas

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