1. A process for producing a radiation image storage panel, comprising the steps of:
i) preparing a coating composition comprising at least a bivalent europium activated alkaline earth metal halide phosphor, a polyurethane resin binder, and a mixed solvent, which comprises a low boiling temperature solvent having a viscosity of at most 0.6 mPa\xb7s and a high boiling temperature solvent having a viscosity higher than 0.6 mPa\xb7s, boiling temperatures of the low boiling temperature solvent and the high boiling temperature solvent being different by at least 10\xb0 C. from each other, wherein the high boiling temperature solvent is n-butyl acetate and the low boiling temperature solvent is methyl ethyl ketone, and wherein a proportion of the methyl ethyl ketone with respect to the total amount of the mixed solvent is within a range of 30% by weight to 70% by weight,
ii) applying the coating composition onto a substrate, and
iii) drying the coating composition, which has been applied onto the substrate, to remove the mixed solvent, a stimulable phosphor layer being thereby formed on the substrate.
2. A process as defined in claim 1 wherein, after the coating composition has been applied onto the substrate and dried to form the stimulable phosphor layer, the thus formed stimulable phosphor layer is subjected to compression processing.
The claims below are in addition to those above.
All refrences to claim(s) which appear below refer to the numbering after this setence.
1. A method of identifying objects based on emitted signals, said method comprising the acts of:
scanning an area of interest for detecting all signal emissions;
performing a high order statistical analysis on all said detected signal emissions discovered during said scanning act, said performed high order statistical analysis configured for determining the level of Gaussianness of each said signal emission, to distinguish between objects of interest and clutter noise; and
for each signal emission determined to be non or less Gaussian, providing an indication that each said signal emission is emanating from a potential target of interest.
2. The method as claimed in claim 1, wherein said signal emissions include radio signals.
3. The method as claimed in claim 2, wherein said act of scanning an area for all signal emissions includes dividing said area of interest into a plurality of tiles, said plurality of tiles each representative of a unique portion of said area of interest, wherein each tile is scanned for all signal emissions.
4. The method as claimed in claim 2, wherein said act of performing a high order statistical analysis on said received emitted signals to distinguish between objects of interest and clutter noise includes comparing the analyzed Gaussianness of all received emitted signals to determine which signals are the least Gaussian, wherein the less Gaussian said emitted signal is, the more likely said emitted signal is from an object of interest.
5. The method as claimed in claim 4 wherein said act of performing a high order statistical analysis includes performing entropy measurements to determine each signal’s level of Gaussianness.
6. A method of identifying objects based on emitted signals, said method comprising the acts of:
scanning an area of interest for detecting all signal emissions;
performing a high order statistical analysis in the from of entropy analysis on all said signal emissions detected during said scanning act, said entropy analysis configured for determining the level of Gaussianness of each said signal emission, to distinguish between objects of interest and clutter noise, said act of performing entropy analysis on all said detected signal emissions includes comparing the determined level of Gaussianness of all detected signal emissions to determine which signals are the least Gaussian, wherein the less Gaussian said emitted signal is, the more likely said emitted signal is from an object of interest; and
for each signal emission determined to be less Gaussian, providing an indication that each said signal emission is emanating from a potential target of interest.
7. A system for identifying objects based on emitted signals comprising:
a receiver, configured for receiving at least emitted signals from within an area of interest;
a high order statistical analyzer, said high order statistical analyzer configured for analyzing said received emitted signals from within said area of interest, and for determining which of said received signals are least Gaussian and which are more Gaussian, wherein said emitted signals determined to be least Gaussian are most likely from objects of interest, and wherein said emitted signals determined to be more Gaussian are most likely from noise or background objects, wherein said determination is based on the relative amount of Gaussianness of each said analyzed, received emitted signal; and
a object of interest identifier, said identifier for receiving said determination from said high order statistical analyzer of which of said received signals are least Gaussian, and for providing an indication that said received signals which are least Gaussian are possible targets of interest.