Low-Cost Hyperspectral Imaging with A Smartphone

被引:25
作者
Stuart, Mary B. [1 ]
McGonigle, Andrew J. S. [2 ]
Davies, Matthew [1 ]
Hobbs, Matthew J. [1 ]
Boone, Nicholas A. [1 ]
Stanger, Leigh R. [1 ]
Zhu, Chengxi [1 ,3 ]
Pering, Tom D. [2 ]
Willmott, Jon R. [1 ]
机构
[1] Univ Sheffield, Dept Elect & Elect Engn, Sheffield S1 4DE, S Yorkshire, England
[2] Univ Sheffield, Dept Geog, Sheffield S10 2TN, S Yorkshire, England
[3] Univ Cambridge, Cambridge Adv Imaging Ctr, Cambridge CB2 3DY, England
基金
英国工程与自然科学研究理事会;
关键词
hyperspectral; smartphone; low-cost; environmental monitoring; field deployable; portable; FEATURES;
D O I
10.3390/jimaging7080136
中图分类号
TB8 [摄影技术];
学科分类号
0804 ;
摘要
Recent advances in smartphone technologies have opened the door to the development of accessible, highly portable sensing tools capable of accurate and reliable data collection in a range of environmental settings. In this article, we introduce a low-cost smartphone-based hyperspectral imaging system that can convert a standard smartphone camera into a visible wavelength hyperspectral sensor for ca. 100 pound. To the best of our knowledge, this represents the first smartphone capable of hyperspectral data collection without the need for extensive post processing. The Hyperspectral Smartphone's abilities are tested in a variety of environmental applications and its capabilities directly compared to the laboratory-based analogue from our previous research, as well as the wider existing literature. The Hyperspectral Smartphone is capable of accurate, laboratory- and field-based hyperspectral data collection, demonstrating the significant promise of both this device and smartphone-based hyperspectral imaging as a whole.
引用
收藏
页数:13
相关论文
共 29 条
[1]  
[Anonymous], 2013, 135SC8 ISO TC
[2]  
Bandara WGC, 2018, IEEE REG 10 HUMANIT
[3]  
Burbine T.H, 2001, MERCURY SPACE ENV SU
[4]  
Chivkunova O.B., 2001, Pap. Nat. Resour, V2, P73
[5]   Ultra-portable, wireless smartphone spectrometer for rapid, non-destructive testing of fruit ripeness [J].
Das, Anshuman J. ;
Wahi, Akshat ;
Kothari, Ishan ;
Raskar, Ramesh .
SCIENTIFIC REPORTS, 2016, 6
[6]   Smartphone based multispectral imager and its potential for point-of-care testing [J].
Ding, Hui ;
Chen, Chen ;
Zhao, Haicheng ;
Yue, Ying ;
Han, Chunyang .
ANALYST, 2019, 144 (14) :4380-4385
[7]   Hyperspectral imaging enabled by an unmodified smartphone for analyzing skin morphological features and monitoring hemodynamics [J].
He, Qinghua ;
Wang, Ruikang .
BIOMEDICAL OPTICS EXPRESS, 2020, 11 (02) :895-910
[8]   Compact hyperspectral image sensor based on a novel hyperspectral encoder [J].
Hegyi, Alex N. ;
Martini, Joerg .
NEXT-GENERATION SPECTROSCOPIC TECHNOLOGIES VIII, 2015, 9482
[9]   Optical fiber smartphone spectrometer [J].
Hossain, Md Arafat ;
Canning, John ;
Cook, Kevin ;
Jamalipour, Abbas .
OPTICS LETTERS, 2016, 41 (10) :2237-2240
[10]   Smartphone-based multispectral imaging and machine-learning based analysis for discrimination between seborrheic dermatitis and psoriasis on the scalp [J].
Kim, Sewoong ;
Kim, Jihun ;
Hwang, Minjoo ;
Kim, Manjae ;
Jo, Seong Jin ;
Je, Minkyu ;
Jang, Jae Eun ;
Lee, Dong Hun ;
Hwang, Jae Youn .
BIOMEDICAL OPTICS EXPRESS, 2019, 10 (02) :879-891