Abstract
Mean and Standard Deviation Equalization Method (MSDEM) generally used in GSFC, CCRS, or NASDA to make the radiometric adjustment between 6 detectors of each Landsat MSS Band, can not always produce the correct imageries. The uncorrect results happen in the scenes covered with a fairly plenty of clouds. Investigating the histogram of such imageries, the authors reach a conclusion that the MSDEM method needs an assumption that the scene should include no pixels overflown radiometrically. Level Matching Method using Cumulative Frequency Distribution (LMMCFD) satisfies any case of scenaries including overflown pixels. In Figure 2, (e) and (f) are the results of LMMCFD method from the raw imageries (a) and (b), while unsufficient correction remains in (c) and (d) processed from the same raw data by the MSDEM method of NASDA.
