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

Automatic cloud detection method for satellite remote sensing images

A satellite remote sensing image and cloud detection technology, which is applied in image enhancement, image analysis, image data processing, etc., can solve the problems of complex methods and low detection accuracy, and achieve the effects of simple methods, high detection accuracy, and accurate results

Pending Publication Date: 2021-12-03
北京和德宇航技术有限公司
View PDF4 Cites 8 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The above-mentioned automatic cloud detection method for satellite remote sensing images has the following disadvantages, such as: low detection accuracy, complicated method, etc.

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
  • Automatic cloud detection method for satellite remote sensing images

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0029] refer to figure 1 , an automatic cloud detection method for satellite remote sensing images, comprising the following steps:

[0030] S1. Calibrate the multispectral data as the apparent reflectance of the atmosphere, calibrate the thermal infrared data as the brightness temperature, and calibrate the cirrus band as the apparent reflectance of the atmosphere TOA;

[0031] S2. Utilize the cloud detection tool to classify the image, identify the pixels of clouds and shadows as MaskedPixels, and render them as dark gray;

[0032] S3. Use the middle-resolution M-Band data of the two scenes of NNPVIIRS to mosaic to obtain a mosaic-processed picture;

[0033] S4, carry out cloud detection to this data and obtain cloud mask file, use Bandmath tool to obtain anti-mask file;

[0034] S5. Use the Fmask algorithm to automatically detect cloud areas from multispectral data, remove invalid areas during data processing, and input anti-mask files during classification to avoid inter...

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 an automatic cloud detection method for satellite remote sensing images. According to the technical scheme, the automatic cloud detection method is characterized by comprising the following steps of: S1, calibrating multi-spectral data as atmospheric apparent reflectivity, calibrating thermal infrared data as brightness temperature, and calibrating cirrus cloud wave bands as atmospheric apparent reflectivity TOA; S2, classifying an image by using a cloud detection tool, marking pixels of cloud and shadow as MaskedPixels, and rendering and displaying the pixels in dark gray; S3, carrying out embedding by using the resolution ratio M-Band data in two-scene NNPVIIRS to obtain an embedded picture; S4, performing cloud detection on the data to obtain a cloud mask file, and obtaining a reverse mask file by using a Bandmath tool; and S5, automatically detecting a cloud region from the multi-spectral data by using a Fmask algorithm, removing an invalid region in a data processing process, inputting the reverse mask file during classification, and eliminating interference of a non-cloud region during analysis. The automatic cloud detection method for satellite remote sensing images has the advantages of being high in detection precision and accurate in obtained result.

Description

technical field [0001] The invention relates to the field of atmospheric detection, in particular to an automatic cloud detection method for satellite remote sensing images. Background technique [0002] Optical remote sensing images are important basic data for observing the earth's surface and obtaining surface information. The global annual average cloud cover is about 66%, and about 60% of the conventional optical satellite remote sensing images are covered by clouds. It is of great significance to perform cloud detection before surface classification, target extraction, and quantitative inversion to generate accurate cloud masks. How to realize automatic cloud detection is a difficult problem. [0003] Existing publication number is the Chinese patent of CN111553922A, and it discloses a kind of satellite remote sensing image automatic cloud detection method, it is characterized in that comprising the following steps: (1), the quantization value of the pixel of each ban...

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): G06T7/00G06T7/11G06T5/40G06K9/62
CPCG06T7/0002G06T7/11G06T5/40G06T2207/10032G06T2207/20021G06T2207/30181G06F18/23213
Inventor 贾秀鹏
Owner 北京和德宇航技术有限公司
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