Method and system for change detection based on multi-temporal remote sensing image and GIS data

Abstract

The invention discloses a method and a system for change detection based on a multi-temporal remote sensing image and GIS data. The method is aimed at solving problems existing in segmentation, classification and change detection methods based on multi-temporal images and GIS data. The method includes the following steps: step 1, segmentation of a remote sensing image and extraction of pixel-levelchange information, mainly including remote sensing image segmentation and pixel-level change detection; step 2, object-oriented remote sensing image classification, mainly including change polygon decision, automatic sample selection and object-oriented SVM decision tree classification model; step 3, change detection after the object-oriented classification. Compared with existing methods of extracting change information using remote sensing images and GIS data, the method can realize automatic and large-area application change information detection method flow, can fully excavate relationship between remote sensing images and GIS data, utilizes attribute information such as type of the GIS data, and improves accuracy of change information extraction.

Description

technical field [0001] The present invention relates to the field of remote sensing and geographic information system (GIS, Geographic Information System), in particular to a method for automatically detecting changes in remote sensing images and GIS data, and in particular to an object-oriented automatic detection of change information using multi-temporal remote sensing images and GIS data Methods. Background technique [0002] In the field of remote sensing, change detection is the process of using remote sensing images of different time phases in the same area to obtain the changed area by comparing the differences in spectral reflectance, texture and other characteristics. Change detection using remote sensing images has been widely used in environmental monitoring, agricultural surveys, urban expansion studies, disaster monitoring, damage assessment and other fields. In the field of GIS, GIS data is the symbolic expression of surface features and features, and is the ...

AI Technical Summary

Problems solved by technology

Because this method does not make full use of the category attribute information of GIS data, the utilization rate of the relationship between remote sensing images and GIS data is low, and it is difficult to ensure the accuracy of change information extraction.

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