Water body information automatic extraction method for multi-spectral image of remote sensing satellite

Abstract

A water body information automatic extraction method for a multi-spectral image of a remote sensing satellite comprises the steps of (1) implementing normalized difference water index (NDWI) extraction on apparent reflectivity data of the multi-spectral image of the domestic remote sensing satellite, and forming an NDWI image; (2) implementing maximum between-cluster variance algorithm based global threshold segmentation initial water body information extraction on the NDWI image; (3) implementing local buffer area expansion and threshold segmentation on the initial water body information, and obtaining a stable water body unit result set; and (4) according to elevation data, obtaining slope and shadow information, removing a shadow from the water body unit result set, and finally finishing the water body information extraction. According to the method, by adopting a computer automatic interpretation method and utilizing a thought of from global segmentation to local iterative segmentation, the NDWI is subjected to water body information extraction in a process manner; and the method is high in extraction precision and easy in engineering.

Description

technical field [0001] The invention relates to a method for automatically extracting water body information from multispectral images of remote sensing satellites, which is suitable for extracting water body information from multispectral images of domestic remote sensing satellites without cloud coverage, and belongs to the field of remote sensing information processing Background technique [0002] With the development of the economy, the damage to the global environment is becoming more and more serious. The frequent occurrence of droughts, floods, and water pollution seriously affects people's lives, social and economic development, and social stability. The monitoring and evaluation of water resources, timely grasp of water resources information, and timely adoption of corresponding countermeasures play an important role in the rational planning and protection of water resources. [0003] The remote sensing monitoring of water body is mostly carried out through the cha...

AI Technical Summary

Problems solved by technology

[0007] In general, the above methods have the following disadvantages: (1) The method is relatively primitive and the extraction accuracy is low; (2) The extraction process requires auxiliary manual intervention, and even requires on-site measurement and manual sketching, which is time-consuming and laborious ; (3) Different calculation models and thresholds are required for different remote sensing satellite multispectral data, and the universality is low; (4) The extraction effect is poor for mountainous areas with shadow interference, and it is difficult to implement engineering applications

Images