©2017 Remote Sensing Geoscience and Engineering Consulting
LiDAR & Satellite Incorporated Application(4)
A Studied Case
Hyper-spectra sampling(1)
Merged Hyper-spectra
Unmerged Hyper-spectra
Figure 1
Figure 2
Figure 4
Figure 3
Information supplied by Hyper-spectra is a very important source to identify substances because it has over one hundred channels. LiDAR has the same /or similar functionality as one of functionalities owned by altimeter installed in the satellite. Both of them do not has powerful ability to identify substance in fingerprint analysis. Accordingly, a lot of work in the process of identifying biochemical or / chemical substances requires hyper-spectra.
However, there are some problems appearing in dealing with data gained from survey and using them. For instance, once Hyper-spectra are merged with georeferenced multi-spectra imagery, many features of substances recorded in Hyper-spectra have completely been lost. Therefore, such “Hyper-spectra” has become useless (see Figure 1 and 2).
In order to avoid that, the georeferenced and unmerged hyper-spectra can be directly extracted and used in practice. Of course, there are several technical tricks in the process of extracting desired hyper-spectra data. The extracted hyper-spectra given in Figure 3 superficially seems that it has the exact same feature as the one offered in Figure 1. However, in fact, they are completely different, hence have completely different hidden data in two imageries. In other words, the georeferenced hyper-spectra data in Figure 3 can be freely sampled without losing spectral information (see Figure 4 and 5 in this section). Furthermore, the sampled spectral information (data) can be transferred and compared with the data gained from LiDAR. More information in this field is to be given in the later section after discussing data gained from LiDAR.
An Important Notice
Please note that the limitations approaching to diverse applications at the initial stages (see Figure 1 and 2) have been successfully dismissed after a lot of effort performed by Dr Carl Jiang with assistants from UQ.
In other words, the originally existing technical problems in dealing with data has completely been solved, hence the original method of merging data by using a package have successfully been replaced by newly discovered methods. The measured data in different places at the same zone can be seamlessly merged without losing any original data and stored information.
