Integrated Processing Software For Spectral Data Applications

Spectrum Imaging Technic， the new detect technic, developed in the pastdecades, has been broadly used in military affairs, ocean, agriculture and so on. Theusing of spectrum imaging technic is primarily formed. However, there exist manyproblems in technic aspect of spectrum imaging. One of the key problems is lackingexcellent matched software of spectrum data processing. So, the software faced tospectrum data processing has been designed in this paper. The research platform of thesoftware is Hadamrd Transform Spectral Imager and Mach-Zehnder spectralinterferometer developed in our laboratory. The research object is spectrum dataprocess software.First, it started with the basic concept of spectrum imaging technic in the paper.The development and trend of spectrum data processing software and object orientedtechnic have been introduced in this paper.Secondly, software architecture has been presented detailedly in this paper. Thesoftware architecture of the software faced to spectrum data processing has beenproposed. The style of data flow direction, independent member and object oriented ofthe software has been put forward aimed at the two spectral imaging system.Again, the imaging theory and system of Hadamard Transform Spectral Imagerand Mach-Zehnder spectral interferometer used have been described briefly. Based onthat, the software of the two spectral imagers has been developed. WindowsMulti-Thread programming technic and MFC have been adopted to d esign the softwarewith Visual C++programming language. USB data capture and DMD controlled byUSB port can work in-phase successfully. The spectrum recovery module, false-colorsynthesize module, enhance control module, signal to noise ratio calculate, calibrationmodule and so on have been programmed according to the imaging theory. Thissoftware, which has been debugged correctly, has run about one year up to snuff in ourlaboratory.Finally, the lack of this design has been pointed out in this paper, and theameliorate opinion has been given. At the same time, software faced to spectrum dataprocessing has a promising future for development.