Abstract
Speckle noise present in radar imagery caused by interaction of out –of-phase waves with a target, the objective of this paper is attempt to test filtering techniques consist of Lee, Frost and Gamma Map to identify a potential shrines area in Lembah Bujang using RADARSAT imageries. The multi-temporal images of RADARSAT for years 2003 and 2014 have been used filtering techniques in identifying potential shrines consist of have been used and tested to selected study areas with using processing software of ENVI 4.8 and ArcGIS 10.2. Based on mathematical morphology, the speckles in these images were reduced, once the reduction is achieved, the enhancement of archaeological sites is accomplished. The finding shows that Local Adaptive Filtering on GAMMA Map filter is the best techniques in identifying potential shrines areas at once as guidance to pursuing an area as official gazette historical site in Malaysia context.
Highlights
1.1 Background of studyLembah Bujang was an international cultural and commercial crossroad 2000 years age
Lembah Bujang, a place located in northern Malaysia (Kuala Muda, Kedah) is one of the most remarkable archaeological sites (Mokhtar, Saidin 2010)
These pre-historic ruins at archaeological sites in Lembah Bujang some 1200 years old were secretly demolished by land developer
Summary
1.1 Background of studyLembah Bujang was an international cultural and commercial crossroad 2000 years age. Lembah Bujang, a place located in northern Malaysia (Kuala Muda, Kedah) is one of the most remarkable archaeological sites (Mokhtar, Saidin 2010). These pre-historic ruins at archaeological sites in Lembah Bujang some 1200 years old were secretly demolished by land developer. Some site has been dug up from its spot with particular shrines hidden from sight believed an old palm and state so the developer probably demolish it first before clearing the oil palm trees Outraged those ancient and significant archaeological sites were unprotected and allow to be dug up to make way for the development. This old method had been influenced realistic forecasting and lack of reliable data and causes costly and time consuming due to their application over large areas and introduces unnecessary conflicts
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