Solar radiation data are essential to the works of energy planners, engineers, environmental and agricultural scientists. But the measured radiation data for a long period are not available all over Bangladesh. However, Bangladesh Meteorological Department has been recording different climatological parameters for years together throughout the country. Computation of solar radiation may be done using these meteorological parameters. For this purpose, we used theoretical formula proposed by different authors in literature. Monthly average data on sunshine duration (n), day length (N), relative humidity (R), temperature (T) etc. for a period of 28 years between 1980 and 2007 are used. So, this study is carried out to determine empirically global, diffuse and direct solar radiation on a horizontal surface for ten districts uniformly distributed all over Bangladesh (latitude 20o34 N - 26o34 N and longitude 88o01 E - 92o41 E) as well as to predict correlations for them.

Four correlation filters, namely, maximum average correlation height (MACH), extended MACH (EMACH), distance classifier correlation filter (DCCF) and polynomial DCCF (PDCCF) are employed to recognize and track single and multiple identical and/or dissimilar targets. The MACH and EMACH filters are used for detection while DCCF and PDCCF filters are utilized for classification. Three different two-step algorithms are developed, based on the combination of the filters, called MACH-DCCF, MACH-PDCCF and EMACH-PDCCF algorithms. In the first step, the input scene is correlated with all the detection filters (one for each desired target class) and the resulting correlation outputs are combined. Then a predefined number of regions of interest (ROI) are selected from the input scene based on the higher correlation peak values. In the second step, a classification filter is applied to these ROIs to identify target types and reject clutters and backgrounds. Moving target tracking is accomplished by applying this technique independently to all incoming image frames. Simulation results are given for the proposed algorithms using forward looking infrared (FLIR) imagery.