A Method for Detecting Changes in Land Use Types

Abstract

The invention discloses a method of detecting land utilization type changes. The method includes: collecting historical land utilization vector data of a study area; obtaining remote-sensing image data of the study area; carrying out automatic computer classification on a remote-sensing image; carrying out superposition processing on the historical land utilization vector data and the remote-sensing image data to obtain historical land utilization type attribution of each pixel in the remote-sensing image in the historical land utilization vector data; judging pixels of which current land utilization types and historical land utilization types are not identical, and marking the same as type-change pixels; and in the type-change pixels, using the same color to represent pixels belonging tothe same current land utilization type, and thus realizing land utilization type change detection. According to the method of the invention, uniform-standard classification of land utilization types can be realized, fast automatic computer classification can be realized, the land use type changes can be precisely detected at the same time, and work efficiency and precision are greatly improved.

Description

technical field [0001] The technology is applicable to the field of geographic information system mapping, specifically a method for detecting changes in land use types through the geographic information system mapping method. Background technique [0002] With the deepening of global change research, land use / cover change research has become the core field of global environmental change research. The application of remote sensing technology combined with Geographic Information System (GIS), computer technology and traditional survey methods to interpret and classify land use types has become an important means of obtaining large-scale, highly time-sensitive land use spatio-temporal data. [0003] In the research of remote sensing technology, identifying various targets through remote sensing images is an important part of the development of remote sensing technology. The establishment of remote sensing database is related to important aspects such as professional informatio...

AI Technical Summary

Problems solved by technology

Commonly used land use remote sensing classification methods have the following defects: the visual interpretation method mainly relies on manual interpretation for classification, which not only takes a long time, but also the interpretation results of different personnel are different, resulting in differences in classification results, and automatic classification cannot be realized

Supervised classification method, the process of selecting the training area is also based on manual judgment, so the workload is heavy, time-consuming, and the results are different, so it cannot be automated

The unsupervised classification method can only distinguish different types of land, but cannot determine its land use type, and its accuracy is low, which cannot meet the needs of practical applications

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