发明授权
- 专利标题: Method for classifying a pixel of a hyperspectral image in a remote sensing application
- 专利标题(中): 遥感应用中高光谱图像像素分类方法
-
申请号: US13023310申请日: 2011-02-08
-
公开(公告)号: US09019358B2公开(公告)日: 2015-04-28
- 发明人: Lalit Keshav Mestha , Beilei Xu , Peter Paul
- 申请人: Lalit Keshav Mestha , Beilei Xu , Peter Paul
- 申请人地址: US CT Norwalk
- 专利权人: Xerox Corporation
- 当前专利权人: Xerox Corporation
- 当前专利权人地址: US CT Norwalk
- 代理机构: Fleit Gibbons Gutman Bongini & Bianco P.L.
- 代理商 Philip E. Blair
- 主分类号: H04N7/18
- IPC分类号: H04N7/18 ; G06K9/00
摘要:
What is disclosed is a novel system and method for simultaneous spectral decomposition suitable for image object identification and categorization for scenes and objects under analysis. The present system captures different spectral planes simultaneously using a Fabry-Perot multi-filter grid each tuned to a specific wavelength. A method for classifying pixels in the captured image is provided. The present system and method finds its uses in a wide array of applications such as, for example, occupancy detection in a transportation management system and in medical imaging and diagnosis for healthcare management. The teachings hereof further find their uses in other applications where there is a need to capture a two dimensional view of a scene and decompose the scene into its spectral bands such that objects in the image can be appropriately identified.
公开/授权文献
信息查询