Water body information extraction method based on TM (Thematic Mapper) image

Abstract

The invention discloses a water body information extraction method based on a TM (Thematic Mapper) image. The method comprises the following steps of: carrying out data fusion on files of seven wave bands, and then setting a proper edge processing method to carry out splicing of image data; then utilizing a boundary of a rasterized target area to cut the spliced image data; establishing a water body information extraction model aiming at wave spectrum information of the TM image; and establishing a noise removal model aiming at mountain shadow noise in the extracted water body information. According to the water body information extraction method, the water body information can be accurately extracted as far as possible by utilizing a Landsat TM satellite image, and basic hydrology information is provided for subsequent research.

Description

technical field [0001] The invention belongs to the cross field of remote sensing technology and GIS technology, and in particular relates to a water body information extraction method based on image processing. Background technique [0002] Remote sensing technology is a comprehensive detection technology that does not directly contact the detection target, detects, judges, interprets and interprets the target from long-distance perception of electromagnetic waves, visible light, and infrared rays reflected or radiated by the target, thereby revealing the characteristics of the target. Remote sensing technology has been well applied in many fields due to its advantages of wide coverage, large spectral range, high temporal and spatial resolution, high spectral resolution, strong penetrating ability, and non-destructive detection of archaeological cultural relics. [0003] After the electromagnetic radiation information of ground objects is recorded, transmitted, processed an...

AI Technical Summary

Problems solved by technology

There are inherent defects in the single-band threshold method: if the threshold is too small, the extracted hillshade information will increase; if the threshold is too large, a lot of water body information will be ignored

The water body extracted by the classical spectral relationship method is relatively "pure", which can effectively remove the influence of mountain shadows. The disadvantage is that the extraction effect on small rivers is not obvious

[0011] At the same time, the existing algorithms are deficient in terms of accuracy, as shown in Table 1:

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