To improve the lineament detection, multiple 
bands are used instead of single bands. Since 
each band collects different spectral information 
of the same ground scene, it may highlight 
different parts of linear features. Experiments 
are carried out to combine multiple band 
information, such as Principle Component 
Analysis and Band Ratioing. Figure 3 shows the 
lineament detection resulted from the first eigen 
channel of the Principle Component Analysis of 
all TM bands except Band 6. Figure 4 displays 
the lineament detection resulted from ratioing of 
Band 4 over Band 3. These resultant lineament 
maps can also be overlaid or further combined, 
as shown in Figure 5. Visual interpretation of the 
subimage was performed by experienced 
geologists. ^ Visual examination of Figures 2, 3, 
4 and 5 against the visual interpretation result 
indicates that all three multi-band lineament 
maps provide better results than the single-band 
lineament map (in Figure 2). Among the three 
multi-band lineament maps, the overlay of PCA- 
1 and Ratio4/3, as shown in Figure 5, detects 
the most lineaments. 
To summarize, it has been demonstrated that it 
is possible to develop algorithms to extract 
lineament information from Landsat TM imagery 
of the Canadian Shield. The comparison of single- 
channel and multi-channel lineament detection 
shows that the best multi-band detection 
achieves better results than the best single- 
channel detection. This demonstrated the 
potential of multi-spectral edge detection 
techniques and their applications in linear feature 
identification. 
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