Eureka AIR delivers breakthrough ideas for toughest innovation challenges, trusted by R&D personnel around the world.

A cloud target detection method based on four-spectral remote sensing images

A remote sensing image and target detection technology, which is applied in instrument, character and pattern recognition, scene recognition, etc., can solve the problems of poor algorithm universality, difficulty in distinguishing various types of cloud targets, and difficulty in remote sensing data detection, etc., to achieve universality. strong effect

Pending Publication Date: 2019-03-08
XIAN INSTITUE OF SPACE RADIO TECH
View PDF8 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] The technical problem solved by the present invention is: in the current prior art, the visible light remote sensing image cloud detection technology is difficult to detect the remote sensing data of the general four-spectrum band, the algorithm is not universal, and it is difficult to distinguish a variety of different types of cloud targets. A cloud target detection method based on four-spectrum remote sensing images

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
  • A cloud target detection method based on four-spectral remote sensing images
  • A cloud target detection method based on four-spectral remote sensing images
  • A cloud target detection method based on four-spectral remote sensing images

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0041] Such as figure 1Shown is a block diagram of the hardware implementation of the cloud detection of the present invention. First of all, before the algorithm processing, down-sampling processing is performed, on the one hand, it can reduce the amount of calculation, on the other hand, it can further process the pixels to be detected into mixed pixels; secondly, in the spectral vector extraction, directly extract each image to be detected The spectral vector of the element, because the information of the original spectral segment is known, the pixel values ​​of other extended spectral segments are obtained by corresponding numerical operations in the spectral segment expansion method, and the element values ​​of multiple extended spectral segments are extracted in parallel. The background subspace and cloud target can be established by manual selection or automatic search. This part of the calculation only needs to be calculated once and can be completed offline. will pro...

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

A cloud detection method based on four-spectral remote sensing images is disclosed. The method is based on the general information of red, green, blue and near-infrared spectral bands, and adopts thedetection principle of orthogonal subspace projection to complete cloud detection. Different from the existing cloud detection methods of remote sensing images, the methd of the present invention overcomes the problem that the cloud detection results can only be sorted into cloud and non-cloud, and the cloud objects can be directly generated into cloud products of different grades, and simultaneously overcomes the problem that the existing multi-spectral cloud detection method is not applicable to the universal four-spectral remote sensing images with a small number of spectral bands, and improves the processing speed and simplifies the computing process.

Description

technical field [0001] The invention relates to a cloud target detection method based on four-band remote sensing images, belonging to the field of digital image processing. Background technique [0002] The massive data generated by satellite-borne high-resolution and wide-coverage multi-sensors brings higher-quality and more diverse data sources to remote sensing applications, and at the same time brings a large amount of invalid information. Extraction and application pose great challenges. According to statistics, more than 50% of high-resolution visible light remote sensing images are covered by clouds with different thicknesses and distribution shapes, resulting in most of the data downloaded to the ground being invalid. Invalid data such as cloud coverage seriously wastes data transmission time and link bandwidth, and affects the priority downloading of data containing important target information. At the same time, the existence of cloud targets in remote sensing i...

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): G06K9/00
CPCG06V20/13
Inventor 侯舒维李晓博肖化超邵应昭莫凡
Owner XIAN INSTITUE OF SPACE RADIO 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
Eureka Blog
Learn More
PatSnap group products