Detection System of Illegal Logging Image Using Matching Process With Discrete Cosine Transform
Syafruddin Syarif, Nadjamuddin Harun, Muhammad Tola, Muhammad Wihardi Tjaronge · Hasanuddin University Repository · 2013
To support the government monitoring system, Logging Detection Tool is used as an implementation of remote sensing technology. It prevents the forest from any damage due to illegal logging activity. Illegal Logging is an actifity of deforestation without any authority and causes many problems in some sectors such as economic, ecology and enviromental inbalance as a result of disruption of the forests. The research is aim to create a system to detect the illegal logging, using Discrete Cosine Transform (DCT). The Image Processing Stage is using index selection. The value of index is taken from RGB Image that has been proceed with DCT and applied as the data to determine the forest location based on its damage. In this system, to reveal the site or forest location, it is derived from its damage level through the selection of total of avarage index value and characterized as low, moderate and severe level. Image sample is taken from reserved forests in Gowa, South Sulawesi, Indonesia. It has 750 m x 560 m size and using a sample image pairs in year 2007 as the initial data and year 2009 for the final data. The test results give the accuracy of the illegal logging detection system with DCT and it reaches 83.33%.