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

Feature-based airborne laser point cloud and image data fusion system and method

An image data, airborne laser technology, applied in image data processing, image enhancement, image analysis and other directions, to achieve the effect of shortening cycle, high efficiency and high precision

Inactive Publication Date: 2015-01-07
SOUTH CHINA UNIV OF TECH
View PDF3 Cites 74 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] At present, there are still some gaps in the fusion scheme of laser point cloud and CCD image data based on the low-altitude flight of drones in China, and the image data used in most fusion schemes are obtained by the camera integrated on the scanner. of

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
  • Feature-based airborne laser point cloud and image data fusion system and method
  • Feature-based airborne laser point cloud and image data fusion system and method
  • Feature-based airborne laser point cloud and image data fusion system and method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0049] The present invention will be further described in detail below in conjunction with the embodiments and the accompanying drawings, but the embodiments of the present invention are not limited thereto.

[0050] Such as figure 1 As shown, the feature-based airborne laser point cloud and image data fusion system provided by the present invention includes a point cloud and image data acquisition module, an image data splicing module, a direct linear transformation algorithm module and a point cloud sticker. Figure 4 a module; the point cloud and image data collection module is mainly to collect data respectively by the airborne laser scanner and the camera sensor; the image data stitching module is responsible for using the stitching algorithm to splice the collected camera photos to obtain a panoramic picture ; The direct linear transformation algorithm module is responsible for using the collinear equation in the photogrammetry theory to establish the transformation rela...

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 feature-based airborne laser point cloud and image data fusion method. The method sequentially comprises the steps of conducting SIFT image stitching on image data acquired by an airborne camera; determining feature points, corresponding to image data, in point cloud data in a scanning area; establishing the corresponding relationship between the line and row numbers of a three-dimensional point cloud and line and the row numbers of pixel points in a two-dimensional stitched image plane by means of the direct linear transformation method in the photogrammetry field; finally applying RGB color information of the pixel points to every point in the point cloud so that fusion of the two kinds of data can be realized. The feature-based airborne laser point cloud and image data fusion system and method are easy to realize, high in fusion effect and fusion accuracy, capable of well achieving point cloud mapping in a small unmanned helicopter laser scanning system, high in flexibility, and adaptable to the situation that a camera and a laser scanner acquire data separately.

Description

technical field [0001] The invention relates to the field of geographic three-dimensional space modeling, in particular to a feature-based airborne laser point cloud and image data fusion system and method. Background technique [0002] Airborne LiDAR (LIDAR) measurement technology is an emerging geospatial information acquisition technology. With the continuous improvement of the integration of hardware devices, many LIDAR systems have integrated CCD (image sensor) digital cameras, which can obtain image data of the scene under test while measuring and obtaining point cloud data. The spatial information and light intensity information of the target can be quickly obtained through the airborne laser scanner, which is helpful for establishing an accurate DTM model. Due to the limitation of the working mode of the laser scanner, the point cloud data has the characteristics of discreteness, uneven density, irregularity, etc., and it is impossible to directly obtain the surface...

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): G06T17/00G06T17/05
CPCG06T7/50G06T17/05G06T2207/10004G06T2207/10028G06T2207/20221G06T2207/30181
Inventor 裴海龙徐勇
Owner SOUTH CHINA UNIV OF TECH
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