The so-called imaging spectrum

spectral intensity information obtained from a specimen is stored in a cube whose appellation signifies the two spatial dimensions of a flat sample(

x

and

y

) and the third dimension

the spectrum

representing the light intensity for every wavelength.By mathematical analysis of the spectral cube

it is possible to perform the function of spectral similarity mapping(SSM) which enables the demarcation of areas occupied by the same type material.Spectral similarity mapping constructs new images of the specimen

revealing areas with similar characteristics and enhancing minute features.In this paper

we use spectral similarity mapping to process the reflective spectral cube of true and false leaves.From the image after processing

we can discriminate the true leaves and the false leaves.So

spectral similarity mapping for optical camouflage screening has some advantages.We can analyze spectral information obtained from a specimen at the entire band although the spectra of the material we want to distinguish is unknown.And

we use spectral similarity mapping to process the transmitted spectral cube of Microcystis aeruginosa and Chlorella pyrenoidosa under the microscope.After spectral similarity mapping processing

we define the result which calculate with the absorption spectrum of Chlorella pyrenoidosa as the gray scale of Red

and define the result which calculate with the absorption spectrum of Microcystis aeruginosa as the gray scale of Green.From the image after processing above

we can differentiate between closely related colors even when the total intensity is similar and is thus more sensitive and specific.In summary

spectral similarity mapping expands the application of imaging spectrum

by using this method

imaging spectrum can be used in optical camouflage screening

species identification and counting

medical imaging recognition

remote sensing

etc

.