Modeling and Calibration of a Multi-Spectral Imaging Sensor for In-Field Crop Nitrogen Assessment

2006 ◽  
Vol 22 (6) ◽  
pp. 935-941 ◽  
Author(s):  
Y. Kim ◽  
J. F. Reid
Keyword(s):  
Spectral Imaging ◽  
Field Crop ◽  
Imaging Sensor

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.

Fuzzy Logic for Image Quality Control of a Field Crop Imaging Sensor

2001 ◽  
Vol 34 (9) ◽  
pp. 215-220
Author(s):  
Yunseop Kim ◽  
Qin Zhang ◽  
John F. Reid
Keyword(s):  
Quality Control ◽  
Fuzzy Logic ◽  
Image Quality ◽  
Field Crop ◽  
Image Quality Control ◽  
Imaging Sensor

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
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