Automated Labeling of Materials in Hyperspectral Imagery

作者：Bue Brian David^*; Merenyi Erzsebet; Csatho Beata

来源：IEEE Transactions on Geoscience and Remote Sensing, 2010, 48(11): 4059-4070.

DOI：10.1109/TGRS.2010.2052815

• Airborne Visible/Infrared Imaging Spectrometer (AVIRIS)
• automatic labeling
• hyperspectral imagery
• material labeling
• spectral matching
• urban

We present a technique for automatically labeling segmented hyperspectral imagery with semantically meaningful material labels. The technique compares the mean signatures of each image segment to a spectral library of known materials, and material labels are assigned to image segments according to the most similar library entry. The similarity between spectral signatures is evaluated using our recently proposed CICRd similarity measure designed specifically for hyperspectral imagery. This measure considers both the continuum-intact reflectance spectrum and its continuum-removed representation. We provide a thorough assessment of this measure by comparison to several commonly used similarity measures on a well-studied lowaltitude Airborne Visible/Infrared Imaging Spectrometer image of an urban area. We evaluate our results using both information-theoretic techniques and visual validation of the resulting spectral matches.

• 出版日期2010-11