Feature-combined optical satellite image cloud and cloud shadow detection method

An optical satellite and shadow detection technology, which is applied in the field of remote sensing image processing, can solve problems such as the difficulty in realizing automatic detection of cloud shadows, the large range of spectral characteristics of clouds and cloud shadows, and the difficulty in achieving comprehensive detection results of clouds and cloud shadows. High-precision automatic detection, the effect of improving the accuracy of cloud detection

Active Publication Date: 2016-06-15
WUHAN UNIV
View PDF2 Cites 21 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, due to the lack of water vapor absorption bands or thermal infrared bands in most optical satellite images, and the large range of spectral characteristics of clouds and cloud shadows, it is difficult to achieve high-precision automatic cloud shadow detection
[0003] Most of the existing methods for detecting clouds and cloud shadows in optical satellite images rely only on spectral features. For images that only have visible light and near-infrared bands, this type of method usually misses thin clouds and highlights Ground objects are wrongly detected as clouds, and it is difficult to achieve better comprehensive detection results of clouds and cloud shadows

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-combined optical satellite image cloud and cloud shadow detection method
  • Feature-combined optical satellite image cloud and cloud shadow detection method
  • Feature-combined optical satellite image cloud and cloud shadow detection method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0041] In order to facilitate those of ordinary skill in the art to understand and implement the present invention, the present invention will be described in further detail below in conjunction with the accompanying drawings and examples. It should be understood that the implementation examples described here are only used to illustrate and explain the present invention, and are not intended to limit the present invention. invention.

[0042] Based on the use of spectral features, thin clouds are further extracted through local optimization strategies around thick clouds, and the joint application of geometric and texture features can solve the problems of difficult detection of thin clouds and difficult removal of highlighted ground objects to a certain extent, thus Realize high-precision automatic cloud coverage rapid estimation and accurate detection of clouds and cloud shadows. Based on the above theory, see figure 1 and figure 2 A multi-feature joint optical satellite...

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-combined optical satellite image cloud and cloud shadow detection method. Through processes such as spectrum filtering, local optimization and object-based filtering, spectrum, geometry and texture features of cloud and cloud shadow are combined to extract the cloud and cloud shadow from an image. The method takes multiple features of the cloud and cloud shadow in the image into consideration, utilizes existing image information to the maximum, and achieves quick and accurate estimation of cloud coverage and precise detection of cloud and cloud shadow positions in an optical satellite image. The detection is high is precision and fast in speed. The method is high in extensibility and practical value.

Description

technical field [0001] The invention belongs to the technical field of remote sensing image processing, and relates to a cloud and cloud shadow detection method, in particular to a multi-feature combined optical satellite image cloud and cloud shadow detection method. Background technique [0002] In the detection of cloud and cloud shadows in optical satellite images, manual visual detection has high precision and high reliability, but it has strong autonomy and low efficiency, so it cannot be detected with a unified standard. The automatic cloud and cloud shadow detection method can extract the position of cloud and cloud shadow in the image more efficiently and objectively according to the spectral characteristics of cloud and cloud shadow. However, due to the lack of water vapor absorption bands or thermal infrared bands in most optical satellite images, and the wide range of spectral characteristics of clouds and cloud shadows, it is difficult to achieve high-precision ...

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): G06T7/00G06T7/40
CPCG06T2207/10032G06T2207/30192
Inventor 沈焕锋李志伟李慧芳吴崎
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

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