Extending Effective Dynamic Range of Hyperspectral Line Cameras for Short Wave Infrared Imaging

Abstract

In this work, a multi-exposure method is proposed to increase the dynamic range (DR) of hyperspectral imaging using an InGaAs-based short-wave infrared (SWIR) hyperspectral line camera. Spectral signatures of materials were captured for scenarios in which the DR of a scene was greater than the DR of a line camera. To demonstrate the problem and test the proposed multi-exposure method, plastic detection in food waste and polymer sorting were chosen as the test application cases. The DR of the hyperspectral camera and the test samples were calculated experimentally. A multi-exposure method is proposed to create high-dynamic-range (HDR) images of food waste and plastic samples. Using the proposed method, the DR of SWIR imaging was increased from 43 dB to 73 dB, with the lowest allowable signal-to-noise ratio (SNR) set to 20 dB. Principal Component Analysis (PCA) was performed on both HDR and non-HDR image data from each test case to prepare the training and testing data sets. Finally, two support vector machine (SVM) classifiers were trained for each test case to compare the classification performance of the proposed multi-exposure HDR method against the single-exposure non-HDR method. The HDR method was found to outperform the non-HDR method in both test cases, with the classification accuracies of 98% and 90% respectively, for the food waste classification, and with 95% and 35% for the polymer classification.

Exploring Quantum Sensing Potential for Systems Applications

“…In turn, Muhammad et .al. [58] described the results of using a short-wave infrared hyperspectral line camera, which increased the dynamic range of hyperspectral imaging from 43 dB to 73 dB. According to the researchers, the method enabled the accuracies of up to 98% for the food and up to 95% for the polymer waste classification.…”

Status of multi-wafer production MBE capabilities for extended SWIR III-V epi materials for IR detection

“…This extended short wave infrared (SWIR) wavelength range offers key fingerprints of various chemical, biological, and explosive materials [1]. Commercial applications include agricultural crop inspection [2] and plastics recycling [3]. Wearable consumer products which track user bioinformation and health indicators, which have signatures in the extended SWIR wavelength range [4], are gaining traction in recent years.…”

Impact of water vapour on polymer classification using in situ short-wave infrared hyperspectral imaging

“…2 Waste sorting and recycling is another example of industrial use of hyperspectral imaging for material classification. [3][4][5] Push-broom is a commonly used technique for hyperspectral cameras. This type of camera captures a line of pixels (scan line), while hundreds of spectral channels provide a dense sampling of the wavelength spectrum at each pixel.…”