Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Hyperspectral image water area automatic extraction method

An automatic extraction and hyperspectral image technology, applied in the field of remote sensing image processing, can solve problems such as low efficiency, time-consuming and labor-consuming, and dependence, and achieve high-precision results

Active Publication Date: 2021-02-05
NO 54 INST OF CHINA ELECTRONICS SCI & TECH GRP
View PDF9 Cites 3 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

This monitoring method can only ensure the acquisition of water resource information in a certain point, and relies on manual guarding and recording, which is time-consuming, labor-intensive, and inefficient

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
  • Hyperspectral image water area automatic extraction method
  • Hyperspectral image water area automatic extraction method
  • Hyperspectral image water area automatic extraction method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0039]The present invention will be further described in detail below with reference to the drawings and specific embodiments.

[0040]Such asfigure 1 As shown, a method for automatically extracting waters from hyperspectral images includes the following steps:

[0041]Step 1. Read the hyperspectral image, analyze its band information, and calculate the water index value of each pixel in the image;

[0042]The water index value can be calculated using conventional methods in the prior art, such as the following formula:

[0043]

[0044]Where Iwater Is the water index value, refGREEN , RefBLUE , RefNIRThey are the reflectivity of the green wave band, the blue wave band and the near-infrared wave band respectively, and k is a coefficient set artificially, usually 0~2.

[0045]Step 2: Calculate the water area segmentation threshold based on the OTSU Otsu method to obtain the first extraction result of the water area; the specific method is:

[0046]Step 2a: Arrange the pixels of the image in order of brig...

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 discloses a hyperspectral image water area automatic extraction method, and belongs to the technical field of remote sensing image processing. The method comprises the following steps: firstly, reading a hyperspectral image, analyzing waveband information of data, and calculating a water body index value of each pixel; then, an improved OTSU method is used for carrying out water areaautomatic segmentation threshold calculation, and a water area primary extraction result is obtained; then, on the basis of a water area primary extraction result, extracting a spectrum of water, carrying out spectrum consistency analysis, and obtaining an Euclidean distance between each pixel and a water body spectrum; taking the Euclidean distance as a weighted value, carrying out covariance matrix calculation, and carrying out water area extraction of a constraint energy minimization method on the basis; obtaining a water area secondary extraction result by utilizing an improved OTSU method; and finally, comprehensively analyzing the water area primary extraction result and the water area secondary extraction result to obtain a final water area extraction result. The method can be carried out in a full-automatic mode, priori knowledge and any parameter setting are not needed, and high precision is achieved.

Description

Technical field[0001]The invention belongs to the technical field of remote sensing image processing, and specifically relates to a method for automatically extracting hyperspectral image waters.Background technique[0002]As an important substance for human survival, water is a decisive factor for maintaining the stability and health of the ecosystem, and a precious resource for human survival and development. How to scientifically and accurately establish a monitoring system for water resources and environment so as to grasp the distribution of water bodies and provide a basis for formulating protection strategies has become one of the key issues in the application of remote sensing technology in the field of environmental protection.[0003]The traditional water area detection method is to set up a network of monitoring stations within the scope of water resources management and economy to realize manual monitoring or automatic monitoring and recording of water information within the...

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
Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/46G06K9/34
CPCG06V10/26G06V10/462
Inventor 孙康陈金勇李方方王敏王士成帅通
Owner NO 54 INST OF CHINA ELECTRONICS SCI & TECH GRP
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com