SAR image semi-automatic threshold extraction method

An extraction method and semi-automatic technology, applied in the field of remote sensing image processing, can solve the problem of low accuracy of threshold segmentation results, and achieve the effects of improving work efficiency and accuracy, ensuring segmentation accuracy, and simple principle.

Active Publication Date: 2021-08-24
CHINA UNIV OF MINING & TECH
View PDF7 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

When the SAR image quality is poor, the accuracy of the threshold segmentation results obtained is low

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
  • SAR image semi-automatic threshold extraction method
  • SAR image semi-automatic threshold extraction method
  • SAR image semi-automatic threshold extraction method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0045] The implementation of the present invention will be described by specific specific examples below. However, the described embodiments are some, not all, embodiments of the invention. Based on the embodiments of the present invention, those skilled in the art may make various modifications or supplements or substitute in similar ways in the specific embodiments. For example, other segmentation or filtering algorithms can be used for preprocessing; the number of lines can be single or multiple; the buffer size and shape can be modified according to specific situations; the gradient calculation formula for pixel retrieval on the mean line can be replaced by other formulas; The calculation of the final threshold can be replaced by other formulas. All other embodiments obtained by the skilled person without creative work belong to the protection scope of the present invention.

[0046] like figure 1 As shown, the present invention provides a semi-automatic threshold value...

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 semi-automatic threshold extraction method for an SAR image. According to the method, automatic search and threshold calculation of a boundary of two different surface features based on a greedy algorithm are realized under a small amount of manual intervention. The method comprises the following steps: firstly, determining two types of ground features to be subjected to threshold segmentation, drawing a line spanning the two types of selected ground features in an SAR image, automatically generating buffer areas on two sides of the line, and calculating average value of the buffer areas to form a average value line; then, respectively calculating gradients of adjacent pixels at two ends of the line, and according to the gradients, carrying out pixel merging from the two ends of the line to the middle of the line until meeting; and finally, calculating a threshold value according to the pixel pair and the gradient at the meeting position, and extracting a target ground object by using the threshold value to obtain a threshold value segmentation result. The method combines the advantages of automatic and manual threshold extraction, can be suitable for SAR images with different resolutions, and is high in speed and high in precision.

Description

technical field [0001] The invention belongs to the technical field of remote sensing image processing, in particular to a semi-automatic threshold extraction method based on SAR images. Background technique [0002] Compared with optical remote sensing images, SAR images have the advantages of penetrating clouds and fog and collecting information all-weather and all-weather. Rapid and accurate acquisition of ground information from SAR images is of great significance for surface monitoring, ecological assessment, disaster detection and early warning. Threshold segmentation of SAR images is a commonly used technique for extracting ground object information. This technology distinguishes different ground objects in the image through different thresholds, and extracts the target ground objects from the background. For example: water body information extraction, rice area extraction, etc. However, there is a large amount of coherent speckle noise in SAR images and the noise ...

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): G06T7/136G06T7/194G06T7/11
CPCG06T7/136G06T7/194G06T7/11G06T2207/10044G06T2207/30181
Inventor 郎丰铠胡新茹
Owner CHINA UNIV OF MINING & TECH
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap