Landsat Satellite Image Quality Improvement Using Discrete Cosine Transform Method

Abstract

Landsat satellite images are images that represent the ocean and land areas of the earth. Image data can be used for various purposes such as environmental analysis, remote sensing, mapping, and others. However, the quality of Landsat imagery is often unsatisfactory due to interference or noise from sources such as sensors, transmission, atmosphere, and storage. Therefore, they can reduce the contrast, sharpness, and information of landsat satellite images. Some of these disturbances prevent people from obtaining clear geographical locations. In order to overcome this problem, an effective and efficient method of Landsat satellite image quality improvement is needed. This research uses an image improvement method, namely discrete cosine transformation. The discrete cosine transformation method is used to reduce image noise by dividing it into each basic element. The method can perform the calculation process metematically and applicatively in the process of Landsat satellite image improvement. The processed results obtained are used to design and implement Landsat satellite image enhancement using the discrete cosine transformation method.