This project is an application of hyperspectral classification and unmixing in support of an ongoing archaeological
study. The study region is the Oaxaca Valley located in the state of Oaxaca, Mexico on the southern coast. This
was the birthplace of the Zapotec civilization which grew into a complex state level society. Hyperion imagery
is being collected over a 30,000 km2 area. Classification maps of regions of interest are generated using K-means
clustering and a novel algorithm called Gradient Flow. Gradient Flow departs from conventional stochastic or
deterministic approaches, using graph theory to cluster spectral data. Spectral unmixing is conducted using the
RIT developed algorithm Max-D to automatically find end members. Stepwise unmixing is performed to better
model the data using the end members found be Max-D. Data are efficiently shared between imaging scientists
and archaeologists using Google Earth to stream images over the internet rather than downloading them. The
overall goal of the project is to provide archaeologists with useful information maps without having to interpret
the raw data.
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