MOSAIC: A model-based change detection process

被引:0
|
作者
Stossel, BJ [1 ]
Dockstader, SL [1 ]
机构
[1] Eastman Kodak Co, Commercial & Govt Syst, Rochester, NY 14650 USA
关键词
model-based fusion; aerial imaging; remote sensing; feature extraction; Markov modeling; change detection; volumetric model; synthetic image generation;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Eastman Kodak has developed a technique called MOSAIC, for Multi-modality Operational Site Analysis and Intelligent Change detection. This technique is based on the application of faceted site models and synthetic image generation (SIG) tools in tandem with material identification using relative reflectance properties derived from imagery and/or feature maps. This presentation will step through key accomplishments in the past two phases of the projects evolution; the technique feasibility demonstration and initial development accomplished under NRO/AS&T charter, and subsequent application of this technique towards the NIMA objective of automatic change detection and update of GIS features including buildings, roads, and river-ways using 3-D volumetric models. Performance examples will be provided, along with a discussion of relationships to other NIMA and Air Force programs.
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页码:1113 / 1119
页数:7
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