RT Journal Article ID 59013a284700b5c4 A1 Lukin, V. V. A1 Abramov, S. K. A1 Ponomarenko, N. N. A1 Krivenko, S. S. A1 Uss, M. L. A1 Vozel, Benoit A1 Chehdi, Kacem A1 Egiazarian, Karen O. A1 Astola, J. T. T1 APPROACHES TO AUTOMATIC DATA PROCESSING IN HYPERSPECTRAL REMOTE SENSING JF Telecommunications and Radio Engineering JO TRE YR 2014 FD 2014-08-07 VO 73 IS 13 SP 1125 OP 1139 K1 automation K1 noise estimation K1 image filtering K1 image compression K1 hyperspectral data AB In hyperspectral imaging, one has to deal with huge amount of data at different stages of their processing both on-board and on-land. Due to this, high degree of automation is required. The paper deals with considering new approaches and trends in design and use of methods and algorithms for automatic processing of hyperspectral data. Blind estimation of noise parameters is the first step. Then the obtained estimates are to be used at stages of image filtering and compression. Several strategies for doing this are considered. Their advantages and drawbacks are discussed. Examples of real-life data processing are presented. PB Begell House LK https://www.dl.begellhouse.com/journals/0632a9d54950b268,6b541fef7dc47de0,59013a284700b5c4.html