Theoretical model for the performance of a multi-spectral imaging sensor

2010 ◽  
Vol 8 (2) ◽  
pp. 155-158 ◽  
Author(s):  
王晓蕊 Xiaorui Wang ◽  
白宏刚 Honggang Bai ◽  
张建奇 Jianqi Zhang
Keyword(s):  
Theoretical Model ◽  
Spectral Imaging ◽  
Imaging Sensor

scholarly journals Tomographic Proximity Imaging Using Conductive Sheet for Object Tracking

Sensors ◽  
2021 ◽  
Vol 21 (8) ◽  
pp. 2736
Author(s):  
Zehao Li ◽  
Shunsuke Yoshimoto ◽  
Akio Yamamoto
Keyword(s):  
Inverse Problem ◽  
Theoretical Model ◽  
Low Cost ◽  
Hand Tracking ◽  
Depth Camera ◽  
Capacitance Density ◽  
Evaluation Test ◽  
Density Problem ◽  
Imaging Sensor ◽  
Tomographic Approach

This paper proposes a proximity imaging sensor based on a tomographic approach with a low-cost conductive sheet. Particularly, by defining capacitance density, physical proximity information is transformed into electric potential. A novel theoretical model is developed to solve the capacitance density problem using the tomographic approach. Additionally, a prototype is built and tested based on the model, and the system solves an inverse problem for imaging the capacitance density change that indicates the object’s proximity change. In the evaluation test, the prototype reaches an error rate of 10.0–15.8% in horizontal localization at different heights. Finally, a hand-tracking demonstration is carried out, where a position difference of 33.8–46.7 mm between the proposed sensor and depth camera is achieved at 30 fps.

Detecting Crop Growth by a Multi-Spectral Imaging Sensor

2013 ◽  
Author(s):  
Tomohisa FUKAGAWA ◽  
Kazunobu ISHII ◽  
Noboru NOGUCHI ◽  
Hideo TERAO
Keyword(s):  
Spectral Imaging ◽  
Crop Growth ◽  
Imaging Sensor

scholarly journals Underwater Spectral Imaging System Based on Liquid Crystal Tunable Filter

2021 ◽  
Vol 9 (11) ◽  
pp. 1206
Author(s):  
Hong Song ◽  
Syed Raza Mehdi ◽  
Chaopeng Wu ◽  
Zixin Li ◽  
Hai Gong ◽  
...  
Keyword(s):  
Liquid Crystal ◽  
Imaging System ◽  
Spectral Response ◽  
Image Data ◽  
Spectral Imaging ◽  
Tunable Filter ◽  
Test Analysis ◽  
Spectral Bands ◽  
Collecting Efficiency ◽  
Imaging Sensor

In the past decade, underwater spectral imaging (USI) has shown great potential in underwater exploration for its high spectral and spatial resolution. This proposal presents a stare-type USI system combined with the liquid crystal tunable filter (LCTF) spectral splitting device. Considering the working features of LCTF and the theoretical model of USI, the core structure containing “imaging lens-LCTF-imaging sensor” is designed and developed. The system is compact, and the optical geometry is constructed minimally. The spectral calibration test analysis proved that the spectral response range of the system covers a full band of 400 nm to 700 nm with the highest spectral resolution between 6.7 nm and 18.5 nm. The experiments show that the system can quickly collect high-quality spectral image data by switching between different spectral bands arbitrarily. The designed prototype provides a feasible and reliable spectral imaging solution for in situ underwater targets observation with high spectrum collecting efficiency.

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