Ortho-correction method for high-resolution remote sensing images based on floating control points

A remote sensing image, high-resolution technology, applied to instruments, character and pattern recognition, computer components, etc., can solve the problems of inability to achieve high-precision orthorectification of images, few ground control points, and low cost

Active Publication Date: 2016-08-17
SHANGHAI URBAN CONSTR DESIGN RES INST GRP CO LTD
View PDF4 Cites 1 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The traditional update method based on field measurements requires a lot of manpower and material resources, and the update method based on satellite high-resolution multispectral remote sensing images can quickly update the channel boundary and the cost is low
However, the ground control points in some areas are relatively rare, and it is impossible to achieve high-precision orthorectification of images
The difficulty brought by the application of this method in channel update, it is difficult to meet the demand, and further improvement is needed

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
  • Ortho-correction method for high-resolution remote sensing images based on floating control points

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0019] This embodiment proposes a method for orthorectification of high-resolution remote sensing images based on floating control points, including the following steps:

[0020] In step S101 , water and land boundaries are extracted based on high-resolution remote sensing images, and small targets in the water area are selected as candidate targets for ship identification.

[0021] Step S102, using texture and reflectance index to describe the candidate target, and constructing a feature vector; exemplary, the feature vector constructed in this embodiment includes gray level co-occurrence matrix statistics, Gabor filter response and spectral reflectance.

[0022] Step S103, selecting ships and pseudo-ships from images of the same type to construct a training and testing sample library, calculating the feature vector described in step S102 for the sample images in the sample library, and adding an output value to the feature vector: the output value of the ship is 1 , the pseu...

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 high-resolution remote sensing image orthorectification method based on floating control points, comprising the steps of: step S101, extracting land and water boundaries based on the high-resolution remote sensing image, and selecting small targets in the water area as candidate targets for ship recognition ; Step S102, construct feature vector; Step S103, construct training and test sample library; Step S104, utilize SVM or ANN method, based on training and test sample library training classifier, complete ship identification, obtain the image coordinates of ship; Step S105, For the identified ship, use morphological subdivision to obtain its geometric centerline, and use the geometric centerline to complete the matching with the tangent direction of the AIS track of the ship, thereby obtaining accurate GPS positioning information of the ship; step S106, based on The ship's image coordinates and geographic coordinates constitute the control points, and the satellite rational polynomial correction model is optimized to obtain high-precision orthophotos.

Description

technical field [0001] The invention relates to the technical field of remote sensing image recognition and correction, in particular to a high-resolution remote sensing image orthorectification method based on floating control points. Background technique [0002] Channel update is an important content in shipping management. The traditional update method based on field measurement requires a lot of manpower and material resources, but the update method based on satellite high-resolution multispectral remote sensing imagery can quickly update the channel boundary and the cost is low. However, there are few ground control points in some areas, and it is impossible to achieve high-precision orthorectification of images. The application of this method in channel update brings difficulties, it is difficult to meet the demand, and further improvement is needed. Contents of the invention [0003] In view of the above-mentioned shortcomings of the prior art, the present invent...

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 Patents(China)
IPC IPC(8): G06K9/32
Inventor 丁美张慧哲周良蒋应红沈日庚
Owner SHANGHAI URBAN CONSTR DESIGN RES INST GRP CO LTD
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