Building extraction method of multi-temporal high-resolution remote sensing images based on multi-feature lstm network

Abstract

The invention discloses a multi-temporal high-resolution remote sensing image building extraction method based on a multi-feature LSTM network, which belongs to the technical field of satellite remote sensing image processing and application. The purpose is to solve the problems of low accuracy rate, high misclassification rate and blurred boundary of building extraction results in existing methods. The present invention uses multiple multi-temporal Gaofen No. 2 remote sensing images as the data source, uses the method based on HSI color transformation to extract the spectral features of the building, and extracts the shape features of the building based on the method of combining image segmentation and conditional random field post-processing. The method based on Gabor wavelet transform to extract the texture information features of the building and the method based on the DSBI index to extract the index features of the building, and the extracted spectrum, shape, texture and index features of the multi-temporal buildings are composed of 60 feature bands The building feature set, and the produced building samples and labels are sent to the LSTM network to obtain the rough extraction results of the buildings, and the final results are obtained after morphological processing.

Description

technical field [0001] The invention belongs to the technical field of satellite remote sensing image processing and application. Background technique [0002] Buildings are the most widely distributed feature types in cities, so buildings are one of the important indicators for evaluating urban economic development. Nowadays, with the continuous development of cities and the increasing number of buildings, the manufacturing materials and appearance shapes of buildings are also changing rapidly, resulting in poor accuracy of building extraction results obtained by traditional methods. For a long time, in order to extract the buildings in the city, the method of manually measuring and drawing the topographic map of the urban buildings is mainly used to extract the buildings. Although this method has certain authenticity, the time cost and labor cost of this method are It is huge, and the extraction results of buildings will vary due to the different cognition abilities of di...

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Problems solved by technology

[0007] In order to solve the problems of low accuracy, high misclassification rate, and blurred borders of building extraction methods using single-temporal high-resolution remote sensing images

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