Skip to main content

Sparse modeling for hyperspectral imagery with LiDAR data fusion for subpixel mapping

Publication ,  Conference
Castrodad, A; Khuon, T; Rand, R; Sapiro, G
Published in: International Geoscience and Remote Sensing Symposium (IGARSS)
December 1, 2012

Several studies suggest that the use of geometric features along with spectral information improves the classification and visualization quality of hyperspectral imagery. These studies normally make use of spatial neighborhoods of hyperspectral pixels for extracting these geometric features. In this work, we merge point cloud Light Detection and Ranging (LiDAR) data and hyperspectral imagery (HSI) into a single sparse modeling pipeline for subpixel mapping and classification. The model accounts for material variability and noise by using learned dictionaries that act as spectral endmembers. Additionally, the estimated abundances are influenced by the LiDAR point cloud density, particularly helpful in spectral mixtures involving partial occlusions and illumination changes caused by elevation differences. We demonstrate the advantages of the proposed algorithm with co-registered LiDAR-HSI data. © 2012 IEEE.

Duke Scholars

Published In

International Geoscience and Remote Sensing Symposium (IGARSS)

DOI

Publication Date

December 1, 2012

Start / End Page

7275 / 7278
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Castrodad, A., Khuon, T., Rand, R., & Sapiro, G. (2012). Sparse modeling for hyperspectral imagery with LiDAR data fusion for subpixel mapping. In International Geoscience and Remote Sensing Symposium (IGARSS) (pp. 7275–7278). https://doi.org/10.1109/IGARSS.2012.6351982
Castrodad, A., T. Khuon, R. Rand, and G. Sapiro. “Sparse modeling for hyperspectral imagery with LiDAR data fusion for subpixel mapping.” In International Geoscience and Remote Sensing Symposium (IGARSS), 7275–78, 2012. https://doi.org/10.1109/IGARSS.2012.6351982.
Castrodad A, Khuon T, Rand R, Sapiro G. Sparse modeling for hyperspectral imagery with LiDAR data fusion for subpixel mapping. In: International Geoscience and Remote Sensing Symposium (IGARSS). 2012. p. 7275–8.
Castrodad, A., et al. “Sparse modeling for hyperspectral imagery with LiDAR data fusion for subpixel mapping.” International Geoscience and Remote Sensing Symposium (IGARSS), 2012, pp. 7275–78. Scopus, doi:10.1109/IGARSS.2012.6351982.
Castrodad A, Khuon T, Rand R, Sapiro G. Sparse modeling for hyperspectral imagery with LiDAR data fusion for subpixel mapping. International Geoscience and Remote Sensing Symposium (IGARSS). 2012. p. 7275–7278.

Published In

International Geoscience and Remote Sensing Symposium (IGARSS)

DOI

Publication Date

December 1, 2012

Start / End Page

7275 / 7278