Color star tracking II: matching

10.32920/14639049 ◽

2021 ◽

Author(s):

Geoffrey R. McVittie

Keyword(s):

Field Testing ◽

Color Filter ◽

Array Detector ◽

Large Set ◽

Blue Color ◽

Matching Algorithm ◽

Sensor Field ◽

Filter Array ◽

Star Tracking ◽

Pair Matching

A novel matching algorithm is presented that can identify stars using raw images of the sky obtained from a CMOS color filter array detector. The algorithm combines geometric information with amplitude ratios calculated from the red, green, and blue color color channels. Conventional algorithms that match stars based solely on inter-star geometry (and sometimes relative brightness), typically require three or more stars for a confident star match. In contrast, the presented algorithms are able to find matches with only two imaged stars in most regions of the sky. The necessary catalog preparation and a simple star-pair matching algorithm based on combined color intensity ratios and the angular spacing are discussed. Results from a large set of simulation trials and initial results from sensor field testing are presented.

Download Full-text

Color star tracking II: matching

10.32920/14639049.v2 ◽

2021 ◽

Author(s):

Geoffrey R. McVittie ◽

John Enright

Keyword(s):

Field Testing ◽

Color Filter ◽

Array Detector ◽

Large Set ◽

Blue Color ◽

Matching Algorithm ◽

Sensor Field ◽

Electronic Copy ◽

Star Tracking ◽

Personal Use

A novel matching algorithm is presented that can identify stars using raw images of the sky obtained from a CMOS color filter array detector. The algorithm combines geometric information with amplitude ratios calculated from the red, green, and blue color color channels. Conventional algorithms that match stars based solely on inter-star geometry (and sometimes relative brightness), typically require three or more stars for a confident star match. In contrast, the presented algorithms are able to find matches with only two imaged stars in most regions of the sky. The necessary catalog preparation and a simple star-pair matching algorithm based on combined color intensity ratios and the angular spacing are discussed. Results from a large set of simulation trials and initial results from sensor field testing are presented.<div>Copyright 2013 Society of Photo‑Optical Instrumentation Engineers (SPIE). One print or electronic copy may be made for personal use only. Systematic reproduction and distribution, duplication of any material in this publication for a fee or for commercial purposes, and modification of the contents of the publication are prohibited.<br></div><div><br><div><br></div></div>

Download Full-text

High-Sensitivity Pixels with a Quad-WRGB Color Filter and Spatial Deep-Trench Isolation

Sensors ◽

10.3390/s19214653 ◽

2019 ◽

Vol 19 (21) ◽

pp. 4653

Author(s):

Yongnam Kim ◽

Yunkyung Kim

Keyword(s):

High Sensitivity ◽

Image Sensor ◽

Oxide Semiconductor ◽

Color Filter ◽

Limited Area ◽

Blue Color ◽

Pixel Size ◽

Deep Trench ◽

Filter Array ◽

Trench Isolation

The demand for a high-resolution metal-oxide-semiconductor (CMOS) image sensor has increased in recent years, and pixel size has shrunk below 1.0 μm to allow accumulation of numerous pixels in a limited area. However, shrinking the pixel size lowers the sensitivity and increases crosstalk because the aspect ratio is worsened by maintaining the height of the pixel. This work introduces a high-sensitivity pixel with a quad-WRGB (White, Red, Green, Blue) color filter array (CFA), spatial deep-trench isolation (S-DTI), and a spatial tungsten grid (S-WG). The optical performance of the suggested pixel was analyzed by performing 3D optical simulations at 1.0, 0.9, and 0.8 μm pixel pitches as small-sized pixels. The quad-WRGB CFA is compared with the quad-Bayer CFA, and the S-DTI and S-WG are compared with the conventional DTI and WG. We confirmed an improvement in the sensitivity of the suggested pixel using the quad-WRGB CFA with S-DTI and S-WG to a maximum of 58.2%, 67.0%, and 66.3% for 1.0, 0.9, and 0.8 μm pixels, respectively.

Download Full-text