1 ADAPTING THE LMF TEMPORAL SPLINING PROCEDURE FROM SERIAL TO MPI/LINUX CLUSTERS Sajia Akhter 1 , Ipshita Sarkar 1 , Kazi Golam Rabbany 1 , Nahid Akter 1 , Shamim Ahkter 2 , Yann Chemin 3 , Dr. Honda Kiyoshi 4 1 Under Graduate Student, Department of Computer Science, American International University-Bangladesh, Banani, Dhaka, Bangladesh Email: sajiaakhter@yahoo.com , ipshita@somewherein.net, kgrsajid@yahoo.com , tina_cs_aiub@yahoo.com 2 Assistant Professor, Department of Computer Science, American International University- Bangladesh, Banani, Dhaka, Bangladesh Email: shamim7862002@yahoo.com 3 Research Associate, RS&GIS Field of Study, School of Engineering and Technology (SET), Asian Institute of Technology (AIT), Thailand Email: ychemin@gmail.com 4 RS&GIS Field of Study, School of Engineering and Technology (SET) Asian Institute of Technology (AIT), Thailand Email: honda@ait.ac.th ABSTRACT: Remote Sensing (RS) provides images over large areas such as provincial or country level. During the last 20 years, it plays a vital role for developing many complex applications. However, RS image includes data noises due to influence of haze or cloud especially in the rainy season. It is thus necessary to remove the noise to recover the real ground variations of information studied. Local Maximum Fitting (LMF) is a combined