Abstract
Abstract. Different from the field of remote sensing, artificial lights are often utilized as the energy source for spectral imaging in the ground hyperspectral applications. The kind of double-spot light source is widely adopted in some large scale ground hyperspectral applications. However, it is hard to reach a satisfied lighting without difference in light intensity in many cases although the lamps are tuned carefully. Therefore, a reflectance calibration of hyperspectral imaging based on the data of diffuse reflectance standard and Gaussian surface fitting is proposed in this paper. The purpose is to improve the reconstruction accuracy of hyperspectral reflectance image by minimized the error caused by the uneven illumination of artificial light source. The method has a higher accuracy than traditional one according to the experiment results.
Highlights
Hyperspectral imaging technology has the advantages of high spectral resolution and ability to obtain both spectral and spatial information, which is one of the most significant revolution since the emergence of remote sensing technology (Qingxi, 2016)
For these kinds of applications, this paper proposes an improved reflectance calibration method based on surface fitting, which can solve the problem of reflectance calibration in the case of uneven light distribution caused by artificial light sources in large indoor scenes
An experiment was carried out to study the light intensity distribution of double spot light used in the ground hyperspectral imaging in this paper
Summary
Hyperspectral imaging technology has the advantages of high spectral resolution and ability to obtain both spectral and spatial information, which is one of the most significant revolution since the emergence of remote sensing technology (Qingxi, 2016). It is necessary to use artificial light sources to perform hyperspectral imaging on a large scale, where it is hard to create an ideal environment with uniform light intensity distribution For these kinds of applications, this paper proposes an improved reflectance calibration method based on surface fitting, which can solve the problem of reflectance calibration in the case of uneven light distribution caused by artificial light sources in large indoor scenes. It is verified by hyperspectral images acquired in laboratory
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