Method and system for remote-sensing image and laser point cloud registration based on road features

A remote sensing image and laser point cloud technology, which is applied in image analysis, image data processing, instruments, etc., can solve the problem of uneven distribution of laser point cloud data, low accuracy and detail of building outlines, building structure edges and Problems such as the inability to extract corner points can be avoided to avoid loss of precision, reduce the search range, and be more discernible

Inactive Publication Date: 2014-10-29
WUHAN UNIV
View PDF2 Cites 50 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

For urban areas with dense buildings, due to the discreteness and uneven distribution of laser point cloud data, the accuracy and detail of the extracted building outlines are not high; and because of the occlusion of aerial remote sensing images, the structure of some buildings Edges and corners cannot be extracted

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
  • Method and system for remote-sensing image and laser point cloud registration based on road features
  • Method and system for remote-sensing image and laser point cloud registration based on road features
  • Method and system for remote-sensing image and laser point cloud registration based on road features

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0060] The method of the present invention extracts the point cloud road vector line based on the laser point cloud data, and uses it as a registration primitive, and uses the improved rectangular overall matching method to automatically extract the remote sensing image road information to obtain the image road centerline, that is, to realize the laser point cloud road vector The matching of the line and the image road centerline; finally, the outer orientation elements of the remote sensing image are recalculated using the feature endpoints of the line with the same name to complete the registration of the two data.

[0061] The extraction of point cloud road vector lines mainly analyzes the attribute characteristics and basic morphological features of the road, uses the three-dimensional coordinate information and intensity information of laser point cloud data, and combines mathematical morphology knowledge to extract the road centerline, that is, the feature of point cloud r...

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 provides a method and a system for high-resolution remote-sensing image and laser point cloud registration based on road features. The method includes the steps of 1, extracting point cloud road vector line according to laser point cloud; 2, preprocessing the orthoimage of a remote-sensing image to acquire binary segmented images; 3, back projecting the point cloud road vector line to the binary segmented images through initial exterior orientation elements and acquiring an image road center line by a rectangular global matching method; 4, taking a terminal point of the point cloud road vector line as a ground control point and taking a terminal point of the image road center line as an image point of the ground control point to realize registration of the laser point cloud and the remote-sensing image. The method and the system can realize rapid, automatic and precise registration between multi-source data to provide reference for surface feature extraction, three-dimensional reconstruction and change detection after fusion of the data.

Description

technical field [0001] The invention belongs to the technical field of remote sensing and photogrammetry, in particular to a method and system for registering remote sensing images and laser point clouds based on road features. Background technique [0002] Unmanned aircraft (Unmanned Aerial Vehicle, UAV) is a powered, controllable, capable of carrying a variety of mission equipment, performing a variety of tasks, and reusable unmanned aerial vehicles. Through the combination of unmanned aerial vehicle technology and remote sensing sensor technology, telemetry and remote control technology, communication technology, GPS differential positioning technology and remote sensing application technology, the UAV remote sensing system can quickly obtain space remote sensing information of land, resources, environment, etc., through ground The receiving station performs remote sensing data processing to realize automation, intelligence, and thematic modeling and analysis. In particu...

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): G06T7/00
Inventor 万幼川何培培秦家鑫杨威
Owner WUHAN UNIV
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