Hyperspectral Chemical Plume Quantification and Temperature Estimation

机译：高光谱化学羽流定量和温度估算

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摘要

Most hyperspectral chemical gaseous plume quantification algorithms assume a priori knowledge of the plume temperature either through direct measurement or an auxiliary temperature estimation approach. In this paper, we propose a new quantification algorithm that can simultaneously estimate the plume strength as well as its temperature. We impose only a mild spatial assumption, that at least one nearby pixel shares the same plume parameters as the target pixel, which we believe will be generally satisfied in practice. Simulations show that the performance loss incurred by estimating both the temperature and plume strength is small, as compared to the case when the plume temperature is known exactly.

机译：大多数高光谱化学气态羽流定量算法都通过直接测量或辅助温度估算方法假定羽流温度具有先验知识。在本文中，我们提出了一种新的量化算法，该算法可以同时估算羽流强度及其温度。我们仅施加一个温和的空间假设，即至少一个附近像素与目标像素共享相同的羽状参数，我们相信在实践中通常会满足这一要求。仿真表明，与准确地了解羽流温度的情况相比，通过估计温度和羽流强度两者而导致的性能损失很小。

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《Algorithms and technologies for multispectral, hyperspectral, and ultraspectral imagery XX》|2014年|90880V.1-90880V.8|共8页
会议地点 Baltimore MD(US)
作者
Sidi Niu; Steven E. Golowich; Vinay K. Ingle; Dimitris G. Manolakis;
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作者单位

Department of Electrical and Computer Engineering Northeastern University 360 Huntington Avenue Boston, MA 02115;

MIT Lincoln Laboratory 244 Wood Street Lexington, MA 02420;

Department of Electrical and Computer Engineering Northeastern University 360 Huntington Avenue Boston, MA 02115;

MIT Lincoln Laboratory 244 Wood Street Lexington, MA 02420;

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原文格式 PDF
正文语种 eng
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关键词
hyperspectral imagery; chemical agent quantification; background estimation; selected-band algorithm;

机译：高光谱图像；化学试剂定量；背景估计；选择频带算法;

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专利

1. Background Radiance Estimation for Gas Plume Quantification for Airborne Hyperspectral Thermal Imaging [J] . Idoughi Ramzi, Vidal Thomas H. G., Foucher Pierre-Yves, Journal of spectroscopy . 2016,第Null期

机译：机载高光谱热成像气体羽流量化的背景辐射估计
2. Background Radiance Estimation for Gas Plume Quantification for Airborne Hyperspectral Thermal Imaging (vol 2016, 5428762, 2016) [J] . Idoughi Ramzi, Vidal Thomas H. G., Foucher Pierre-Yves, Journal of spectroscopy . 2016,第Null期

机译：机载高光谱热成像气体羽流量化的背景辐射估计（vol 2016，5428762，2016）
3. Detection and quantification of CH 4 plumes using the WFM-DOAS retrieval on AVIRIS-NG hyperspectral data [J] . Borchardt Jakob, Burrows John Philip, Gerilowski Konstantin, Atmospheric Measurement Techniques . 2021,第2期

机译：使用WFM-DoAS检索在Aviris-NG高光谱数据上检测和定量CH 4羽毛的定量
4. Hyperspectral chemical plume quantification via background radiance estimation [C] . Sidi Niu, Steven E. Golowich, Vinay K. Ingle, Algorithms and technologies for multispectral, hyperspectral, and ultraspectral imagery XIX . 2013

机译：通过背景辐射度估算实现高光谱化学羽流定量
5. Quantification of chemical gaseous plumes on hyperspectral imagery. [D] . Niu, Sidi. 2013

机译：高光谱图像上的化学气态羽流的定量。
6. Hyperspectral chemical plume detection algorithms based on multidimensional iterative filtering decomposition [O] . A. Cicone, J. Liu, H. Zhou -1

机译：基于多维迭代滤波分解的高光谱化学羽流检测算法
7. COMPARISON OF ESTIMATION METHODS TO QUANTIFY METHANE PLUME CONCENTRATION AT HIGH SPATIAL RESOLUTION FROM HYPERSPECTRAL IMAGES [O] . N. Nesme, P-Y. Foucher, S. Doz, 2021

机译：从高光谱图像中测量甲烷羽流浓度的估计方法的比较

Hyperspectral Chemical Plume Quantification and Temperature Estimation

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