Processing and analyzing hyper-spectral image data and information via dynamic database updating

A method of processing and analyzing hyper-spectral image data and information of hyperspectral imaged scenes via dynamic database updating, the method comprising the steps of:

• (a) identifying objects of non-interest being background of, or within, the hyperspectral imaged scenes, and objects of potential interest being potential targets of, or within, the hyperspectral imaged scenes, or, being potential background of, or within, the hyperspectral imaged scenes, from a sub-set of the hyper-spectral image data and information, by processing and analyzing emission type spectral representations of objects within said data and information sub-set, wherein step (a) includes using a first reference object database of hyper-spectral image data, information, and parameters of imaged reference objects, and, a second reference object database of biological, chemical, or/and physical data, information, and parameters of said imaged reference objects;
• (b) determining:
• (1) absence or presence of objects of interest, (2) additional said objects of non-interest, and (3) non-classifiable objects of potential interest, from said identified objects of potential interest, by processing and analyzing said identified objects of potential interest, wherein said determining includes performing following sub-steps (i)-(iii):
• (i) forming a special database of said objects of potential interest;
• (ii) comparing and correlating data and information of said special database of said sub-step (i) to data and information of said first reference object database of said hyper-spectral image data, information, and parameters, and, to said second reference object database of biological, chemical, or/and physical data, information, and parameters;
• and
• (iii) forming a temporary first reference object database of hyper-spectral image data, information, and parameters, and, a temporary second reference object database of biological, chemical, or/and data, information and parameters, by using results of said sub-step (ii);
• (c) forming an updated first reference object database and an updated second reference object database, by using results of steps (a) and (b);
• (d) repeating steps (a) through (c) for next sub-set of the hyper-spectral image data and information, by using said updated first reference object database and said updated second reference object database;
• and
• (e) repeating step (d) for a number of said next sub-sets of the hyper-spectral image data and information.