Unlock instant, AI-driven research and patent intelligence for your innovation.

River characteristic classification data processing method

A feature classification and processing method technology, applied in the direction of instruments, character and pattern recognition, computer components, etc., can solve the problems of heavy workload, complicated classification process, and difficulty in determining the main types of riverbed sediments on the scale of flat-shoal flow, etc., to achieve The effect of increasing speed and reducing workload

Inactive Publication Date: 2016-11-02
GUANGXI TEACHERS EDUCATION UNIV
View PDF4 Cites 14 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The Rosgen river classification is mainly used for river planning and design, which requires fine characterization of the site, and the workload is heavy. Factors such as riverbed landform units and habitats are not considered, and it is often difficult to determine the scale of flat-shoal flow and the main types of riverbed bottom materials. question
The Brierley-Fryirs classification is biased towards the classification of streams and rivers, without considering the impact of human activities, the classification process is complex and requires high staff, and the reference status is difficult to obtain

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • River characteristic classification data processing method
  • River characteristic classification data processing method
  • River characteristic classification data processing method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0026] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the examples of the present invention. Obviously, the described embodiments are only some of the embodiments of the present invention, not all of them. Based on the embodiments of the invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

[0027] A method for processing river feature classification data, comprising the following steps:

[0028] Step 1: Collect satellite remote sensing image spatial data of the river basin, and construct remote sensing interpretation signs of ground features based on the differences in the shape, color and texture structure of the river; collect satellite image data of the spatial distribution of the river basin, including watershed DEM data, high-resolution remote se...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention belongs to the technical field of geographical space and data analysis, and particularly relates to a river characteristic classification data processing method. Firstly river space distribution image data photographed by the satellite are collected, rivers are divided into natural river and non-natural river characteristic information according to the interference degree on the rivers, and ground object remote sensing interpretation marks are constructed for the characteristic information of the rivers through the ground object shape, hue and texture structural difference of the rivers; then the structural breaks of the rivers are identified according to the constructed ground object remote sensing interpretation marks, and calculation of enclosing degree, winding degree and riverbed sediment is performed on the river reaches segmented by the river structural breaks; and the rivers are classified based on the riverbed sediment type indexes and the river types are determined and the river type border lines are adjusted based on the riverbed geomorphic unit indexes, and the connected same type river reaches are merged to establish a river type tree so that the workload of river classification is greatly reduced and speed of river classification data processing is enhanced.

Description

technical field [0001] The invention belongs to the technical field of geographic space and data analysis, and in particular relates to a method for processing river feature classification data. Background technique [0002] Domestic river classification (segmentation) mainly uses a single factor to classify, such as classification according to river supply conditions, plane shape, river destination, countries through which it flows, and sediment concentration. These classification methods only reflect a certain side of the river, and it is difficult to effectively and comprehensively distinguish the differences in the channel pattern, riverbed substrate or movement, sediment transport mechanism, slope, and river valley of complex river systems. Management needs, often used as a simple classification and description of main characteristics of rivers. The mainstream foreign river classification considering multi-factor mainly includes Rosgen classification method and Brierle...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
IPC IPC(8): G06K9/62
CPCG06F18/241
Inventor 赵银军
Owner GUANGXI TEACHERS EDUCATION UNIV