Automatic efficient full-covering test method of over-the-ground visible light remote sensing satellite image data

Abstract

The invention discloses an automatic efficient full-covering test method of over-the-ground visible light remote sensing satellite image data. The automatic efficient full-covering test method includes: timely receiving data needing detection and performing real-time data uncompressing; performing image data dividing for the uncompressed image data according to channels; performing image data preprocessing for the uncompressed image data according to channels; separating auxiliary data in a channel image data packet; timely storing continuous test samples and playing back the test samples as required; performing image quality testing and performing image data quick looking according to the channels; and displaying the testing result and automatically forming a testing report. Simultaneously, the automatic efficient full-covering test method has the capabilities of image data postmortem analysis processing and open type function extensibility, and has the automatic, efficient and full-covering advantages.

Description

technical field [0001] The invention relates to a whole-satellite test scheme for high-resolution satellite image data, and more specifically, to a design method for a test scheme for visible light imaging satellite load image data. Background technique [0002] Optical remote sensing satellites have been widely used in many fields such as my country's economic construction, environmental monitoring, land survey, disaster emergency response and rescue. All major aerospace countries have invested heavily in the development of their own optical remote sensing satellites, and our country has also continuously increased investment in research. Optical remote sensing satellites are characterized by larger and larger remote sensing swaths, higher resolutions, and larger data volumes. Therefore, the requirements for correctness detection of image data are getting higher and higher in the process of satellite development. [0003] The data to be detected includes the following con...

AI Technical Summary

Problems solved by technology

[0013] Both of the above two test methods adopt post-interpretation, or extract part of the image for naked eye observation for data detection. Due to the large amount of image data and limited interpretation methods, only obvious abnormalities and errors in image data processing can be found by relying on human eye interpretation. For errors such as single byte and single bit, it cannot be effectively detected, and at the same time, it cannot detect the correctness of the entire data area, and there is a test blind area

Images