Innovation Series: Advanced Science (ISSN 2938-9933, CNKI Indexed)

A New Method for Gas Continuous Spectra Description Invariant to Environment Changes

Ming Nie¹, Xiaobing Dai^2,*

¹ Electric Power Research Institute of Guangdong Power Grid Co., Ltd., Guangzhou 510080, China

² Wuhan University, Wuhan 430068, China

Corresponding Author: Xiaobing Dai

Abstract: Spectra play an increasingly important role in object detection, recognition, and identification. A key challenge in object identification using infrared spectroscopy is that spectral profiles change with variations in temperature and pressure, making robust feature extraction difficult. Thus, a stable descriptor for infrared spectra is essential for invariant feature extraction under varying environmental conditions. In this paper, we propose a novel spectral descriptor grounded in the concept of curvature. The fundamental insight is that the relative curvature across different scales remains unchanged despite environmental perturbations. The Curvature Scale Space (CSS) method is adopted as the foundation, upon which we develop the Normalized Curvature Scale Space (NCSS) descriptor for invariant spectral representation.

Keywords: Gas spectral recognition; Invariant feature extraction; Curvature Scale Space; Spectral descriptor

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