PlumX Metrics
Embed PlumX Metrics

Research on the Auto-Exposure Method of an Aerial TDI Camera Based on Scene Prediction

Applied Sciences (Switzerland), ISSN: 2076-3417, Vol: 13, Issue: 22
2023
  • 0
    Citations
  • 0
    Usage
  • 0
    Captures
  • 2
    Mentions
  • 0
    Social Media
Metric Options:   Counts1 Year3 Year

Metrics Details

  • Mentions
    2
    • Blog Mentions
      1
      • Blog
        1
    • News Mentions
      1
      • News
        1

Most Recent News

Data on Applied Sciences Discussed by a Researcher at Chinese Academy of Sciences (Research on the Auto-Exposure Method of an Aerial TDI Camera Based on Scene Prediction)

2023 DEC 05 (NewsRx) -- By a News Reporter-Staff News Editor at NewsRx Science Daily -- A new study on applied sciences is now available.

Article Description

Aerial TDI cameras can obtain images with a high sensitivity, high resolution, and wide dynamic range under low-illumination conditions. Under the condition of low illumination, exposure is an important parameter that affects the image quality of the camera. Auto-exposure aims to obtain the information of target scene in advance and uses it as the basis for determining exposure parameters, which can avoid the loss of image information caused by overexposure or underexposure. The auto-exposure of TDI CCD is usually difficult, as the shooting mode of TDI CCD is a push and sweep mode, which can only take one image of the target scene, and the output image is not repetitive, so it is difficult to obtain an image of the target scene in advance. At present, the common method is to add an additional sensor to collect the feature information of the target scene in advance; however, this increases the complexity of the system. Therefore, this paper proposes that the camera uses TDI CCD to collect the first N rows of data of the target scene in advance as the basis, and then adjusts and determines the exposure parameters with the median gray value as the target; thus, without adding additional sensors, the auto-exposure of TDI CCD can be realized. To evaluate the effect of auto-exposure, three methods of image power spectrum variance, image histogram, and image information entropy are used. The test results show that, after auto-exposure, the variance in the image power spectrum increased by 0.4362, the entropy of image information increased by 1.7064, and the distribution of the image histogram was more uniform than that before auto-exposure. This shows that the effect of auto-exposure is good, and it has better scene adaptation, allowing for it to meet the requirements of auto-exposure imaging under low-illumination conditions in aerial TDI cameras.

Bibliographic Details

Jingtao Huang; Jiwei Liu; Xiaodong Wang; Xu Jiang

MDPI AG

Materials Science; Physics and Astronomy; Engineering; Chemical Engineering; Computer Science

Provide Feedback

Have ideas for a new metric? Would you like to see something else here?Let us know