ORTHOGONAL WAVELET FUNCTION FOR COMPRESSION SATELLITE IMAGERY OF PEAT FOREST FIRES
| Main Authors: | Kristianti, Novera, Santoso, Albertus Joko, Pranowo, . |
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| Format: | Article PeerReviewed Book |
| Bahasa: | eng |
| Terbitan: |
Department of Computer Sciecne and Software Engineering, Internaitonal Islamic University Islamabad
, 2018
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| Subjects: | |
| Online Access: |
http://e-journal.uajy.ac.id/26633/1/08.%20Orthogonal%20wavelet%20function%20for%20compression%20satellite%20imagery%20of%20peat%20forest%20fires.pdf http://e-journal.uajy.ac.id/26633/ |
Daftar Isi:
- Background: In the process of digital image data representation, constrained the number of data volumes are required. One of the main sources of information in data processing of imagery is satellite imagery. Some applications of remote sensing technology requires a good quality image but in small size. Purpose: This study focuses on image compression is done to reduce the size of the image needs. However, the information contained in the image retained its existence. Method: In this study, using 17 orthogonal wavelet function used to reduce data satellite images of peat forest fires. Then, 17 of these orthogonal wavelet functions are compared with the parameter measurement i.e. PSNR (Peak Signal to Noise Ratio) and compression ratio. The benchmark of image compression is seen from the largest PSNR and large compression ratio Finding: Based on orthogonal wavelet function testing, then the Haar (daubechies 1) wavelet function results obtained has the highest PSNR for all level of decomposition on all test image i.e 50.783 dB for test image 1, 50.954 dB for image 2 and 49.855 dB for image 3. For the highest compression ratio on all test image is a function of wavelet symlet 8 i.e 97.00% for image 1, 97.05% for image 2 and 96.90% for image 3. Originality value: Satellite imagery that has been reduced would contribute to facilitating the processing of data as well as data input for the creation of digital image processing for system detection peat forest fires hotspots.