An object-oriented method for automatic detection of cloud coverage areas in time-series remote sensing images

A remote sensing image, object-oriented technology, applied in image enhancement, image analysis, image data processing and other directions, can solve problems such as lack of prior information of targets, complex cloud coverage areas, etc., and achieve reliable and robust results.

Inactive Publication Date: 2017-11-24
CHANGJIANG RIVER SCI RES INST CHANGJIANG WATER RESOURCES COMMISSION
View PDF4 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Although these detection methods have certain potential, the complexity of the cloud coverage area and the lack of prior information of the target cause these algorithms to have certain limitations.

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
  • An object-oriented method for automatic detection of cloud coverage areas in time-series remote sensing images
  • An object-oriented method for automatic detection of cloud coverage areas in time-series remote sensing images
  • An object-oriented method for automatic detection of cloud coverage areas in time-series remote sensing images

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0031] The technical solutions in the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the present invention.

[0032] Please refer to figure 1 , the present invention provides an object-oriented time-series remote sensing image cloud coverage area automatic detection method, comprising the following steps:

[0033] (1) Data preparation

[0034] In order to comprehensively analyze the performance of the method, we compare the method of the present invention with the traditional pixel-level detection algorithm on the one hand. In addition, in order to further verify the robustness of the method of the present invention to remote sensing images, two different data sets (Fig. 2(a), Fig. 2(b)) were selected for experiments. The data set is CBERS-02B, a domestic resource satellite remote sensing image, with a spatial resolution of 20 meters. The bands are red, green, and blue three visible light bands and near-infra...

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 an object-oriented method for automatic detection of cloud coverage areas of time-series remote sensing images, including six steps of data preparation, image registration, multi-scale image segmentation, radiation difference elimination, spectral similarity calculation, threshold segmentation and detection result generation. It adopts the object-oriented interpretation method, which can effectively divide the cloud coverage area into patterns, make full use of the rich time series information of time series images, and can effectively use the multi-feature advantages between time series images. In the detection of cloud coverage areas of time series remote sensing images, Using a multi-feature fusion strategy and making full use of timing and spectral information can make the detection results more reliable and robust.

Description

technical field [0001] The invention relates to the field of automatic and precise detection of cloud coverage areas of remote sensing images, in particular to an object-oriented automatic detection method of cloud coverage areas of time-series remote sensing images. Background technique [0002] With the continuous accumulation of multi-temporal remote sensing data and the successive establishment of spatial databases, how to extract and detect specific ground object information from these remote sensing data has become an important research topic in remote sensing science and geographic information science. According to remote sensing images of different time phases in the same area, dynamic information such as cities and environments can be extracted to provide scientific decision-making basis for resource management and planning, environmental protection and other departments. However, in areas with complex terrain, such as the mountainous areas in Southwest my country, ...

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): G06K9/00G06T3/00G06K9/36G06T7/10G06K9/40G06K9/62
CPCG06T3/0068G06T2207/10032G06T2207/30181G06V20/13G06V10/247G06V10/20G06V10/30G06F18/22
Inventor 申邵洪郑学东向大享文雄飞李喆张治中马辉张穗徐坚刘淑凤汪朝辉陈希炽
Owner CHANGJIANG RIVER SCI RES INST CHANGJIANG WATER RESOURCES COMMISSION
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