Hyperspectral Data Processing: Algorithm Design and Analysis

16.4 Experiments

Two data sets are used for experiments, the HYDICE image data in Figure 1.15 and Purdue's Indian Pine test site AVIRIS data in Figure 1.13.

16.4.1 HYDICE Image Experiments

Since the precise knowledge of the 19 R panel pixels is known according to the ground truth provided in Figure 1.15(b), the mean of each of five panel signatures is calculated by averaging the R pixels for each of five rows and shown in Figure 1.16. These five panel signatures were used for discrimination and also as a database for identification. Table 16.1 tabulates identification errors of 19 R panel pixels resulting from pixel-based hyperspectral measures, ED, SAM, OPD, SID, and correlation-weighted hyperspectral measures, MD_RX, MD_CEM, MFD_RX, and MFD_CEM where all the four correlation-weighted hyperspectral measures made no errors compared to pixel-based hyperspectral measures that made errors ranging from 4 to 6 with the SID and ED being the best and worst measures.

Table 16.1 Identification errors of 19 R pixels resulting from signature vector-based hyperspectral measures and second-order statistics weighted hyperspectral measures.

Since the performance of a posteriori correlation-weighted hyperspectral measures varies with the knowledge of the U used in their measures, their results are not included in Table 16.1. Instead, this issue is investigated separately. To see the impact of various ...