New concept and intelligent risk recognition method for dynamic flood risk map

Abstract

The invention discloses a dynamic flood risk map new concept and risk intelligent recognition method, which comprises the steps of inputting preprocessed and normalized remote sensing image data intoan established BP neural network for processing, and identifying and outputting a classification result image; utilizing the classification result image, utilizing a flood inundation cellular automaton based on a volume method for modeling, and drawing to form a dynamic flood risk map; wherein the dynamic flood risk graph comprises a flood risk time-varying graph, a flood risk dynamic analysis graph, a flood risk dynamic scheduling graph and a flood management dynamic risk graph. According to the invention, the BP neural network-based remote sensing disaster recognition method is introduced; disaster data information can be quickly acquired, flood risk analysis and calculation speed is improved, network convergence time is shortened, quick classification and recognition are carried out, flood disaster monitoring basic data can be quickly and accurately acquired, and a means which is little in manual intervention, high in automation degree and high in classification precision is provided for remote sensing intelligent information extraction and classification.

Description

technical field [0001] The invention relates to the technical field of flood risk identification, in particular to a new concept of a dynamic flood risk map and a risk intelligent identification method. Background technique [0002] Flood risk maps play an irreplaceable and important role in flood control and rescue, flood risk management, urban and rural construction planning, land use planning, establishment of flood insurance system, and improvement of flood prevention awareness among the whole people. At this stage, most of the flood risk maps in my country are compiled under the conditions of specific frequency floods or heavy rains, and there are problems such as insufficient practical information, difficulty in updating, and difficulty in sharing results. [0003] With the rapid development of my country's social economy, the topography, underlying surface and engineering facilities of the flood control area will undergo major changes, which will partially or complete...

AI Technical Summary

Problems solved by technology

At this stage, most of the flood risk maps in my country are compiled under the conditions of specific frequency floods or heavy rains, and there are problems such as insufficient practical information, difficulty in updating, and difficulty in sharing results.

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