Bhargava Anuja, Sachdeva Ashish, Sharma Kulbhushan, Alsharif Mohammed H, Uthansakul Peerapong, Uthansakul Monthippa
GLA University, Mathura, India.
Chitkara University Institute of Engineering and Technology, Chitkara University, Punjab, India.
Heliyon. 2024 Jun 18;10(12):e33208. doi: 10.1016/j.heliyon.2024.e33208. eCollection 2024 Jun 30.
Hyperspectral imaging has emerged as an effective powerful tool in plentiful military, environmental, and civil applications over the last three decades. The modern remote sensing approaches are adequate for covering huge earth surfaces with phenomenal temporal, spectral, and spatial resolutions. These features make HSI more effective in various applications of remote sensing depending upon the physical estimation of identical material identification and manifold composite surfaces having accomplished spectral resolutions. Recently, HSI has attained immense significance in the research on safety and quality assessment of food, medical analysis, and agriculture applications. This review focuses on HSI fundamentals and its applications like safety and quality assessment of food, medical analysis, agriculture, water resources, plant stress identification, weed & crop discrimination, and flood management. Various investigators have promising solutions for automatic systems depending upon HSI. Future research may use this review as a baseline and future advancement analysis.
在过去三十年中,高光谱成像已成为一种有效的强大工具,在众多军事、环境和民用应用中得到广泛应用。现代遥感方法足以以惊人的时间、光谱和空间分辨率覆盖巨大的地球表面。这些特性使高光谱成像在各种遥感应用中更有效,这取决于对相同材料识别和具有既定光谱分辨率的多种复合表面的物理估计。最近,高光谱成像在食品安全与质量评估、医学分析和农业应用研究中具有极其重要的意义。本综述重点关注高光谱成像的基本原理及其在食品的安全与质量评估、医学分析、农业、水资源、植物胁迫识别、杂草与作物鉴别以及洪水管理等方面的应用。众多研究人员针对基于高光谱成像的自动系统提出了颇具前景的解决方案。未来的研究可以将本综述作为基线和未来进展分析的依据。