Regional water resource classification evaluation method based on improved deep residual network

Abstract

The invention relates to the technical field of deep residual networks, and discloses a regional water resource classification evaluation method based on an improved deep residual network, which comprises four steps of image enhancement, image fusion, image marking and image segmentation. According to the regional water resource classification evaluation method based on the improved deep residual network, image enhancement is used for improving image information and quality, so that the features of the image are more obvious under human eye observation, the regional water resource identification effect is enhanced, visual analysis ignores the digital interference degree, and the method plays an important role in various aspects of remote sensing images; according to image fusion, a multi-spectral image with low spatial resolution and a single-band image with high spatial resolution are replayed and sampled to generate a new multi-spectral image with high resolution, so that the generated image has high spatial resolution and multi-spectral characteristics, a composite mode is mainly adopted, information provided by remote sensing image data sources of different sensors is integrated, and multi-spectral image fusion is realized. And high-quality image information is obtained.

Description

technical field [0001] The invention relates to the technical field of deep residual network, in particular to a method for classifying and evaluating regional water resources based on an improved deep residual network. Background technique [0002] Water is the source of life, the key to production, and the foundation of ecology. One of China's strategic measures to accelerate the transformation of its economic development model is strict water resource management, establishing and clarifying the control of water resource development and utilization, controlling water use efficiency, and water function. Limit the three lines and establish a water resource management responsibility and evaluation system, which will be the most stringent water resource management system in the history of China, a country suffering from severe drought and water shortage, with a total fresh water resource of 2.8 trillion m 3 , accounting for 6% of the world's total per capita water resources, b...

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Problems solved by technology

[0004] Aiming at the deficiencies of the prior art, the present invention provides a regional water resource classification and evaluation method based on the improved deep residual network, which has the advantages of low classification error rate of regional water resources, and solves the problems of long image preprocessing time and high classification error rate. and long classification time

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