دورية أكاديمية
RESEARCH ON DIFFERENTIAL CODING METHOD FOR SATELLITE REMOTE SENSING DATA COMPRESSION
| العنوان: | RESEARCH ON DIFFERENTIAL CODING METHOD FOR SATELLITE REMOTE SENSING DATA COMPRESSION |
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| المؤلفون: | Z. J. Lin, N. Yao, B. Deng, C. Z. Wang, J. H. Wang |
| المصدر: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XXXIX-B7, Pp 217-222 (2012) |
| بيانات النشر: | Copernicus Publications, 2012. |
| سنة النشر: | 2012 |
| المجموعة: | LCC:Technology LCC:Engineering (General). Civil engineering (General) LCC:Applied optics. Photonics |
| مصطلحات موضوعية: | Technology, Engineering (General). Civil engineering (General), TA1-2040, Applied optics. Photonics, TA1501-1820 |
| الوصف: | Data compression, in the process of Satellite Earth data transmission, is of great concern to improve the efficiency of data transmission. Information amounts inherent to remote sensing images provide a foundation for data compression in terms of information theory. In particular, distinct degrees of uncertainty inherent to distinct land covers result in the different information amounts. This paper first proposes a lossless differential encoding method to improve compression rates. Then a district forecast differential encoding method is proposed to further improve the compression rates. Considering the stereo measurements in modern photogrammetry are basically accomplished by means of automatic stereo image matching, an edge protection operator is finally utilized to appropriately filter out high frequency noises which could help magnify the signals and further improve the compression rates. The three steps were applied to a Landsat TM multispectral image and a set of SPOT-5 panchromatic images of four typical land cover types (i.e., urban areas, farm lands, mountain areas and water bodies). Results revealed that the average code lengths obtained by the differential encoding method, compared with Huffman encoding, were more close to the information amounts inherent to remote sensing images. And the compression rates were improved to some extent. Furthermore, the compression rates of the four land cover images obtained by the district forecast differential encoding method were nearly doubled. As for the images with the edge features preserved, the compression rates are average four times as large as those of the original images. |
| نوع الوثيقة: | article |
| وصف الملف: | electronic resource |
| اللغة: | English |
| تدمد: | 1682-1750 2194-9034 |
| Relation: | https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XXXIX-B7/217/2012/isprsarchives-XXXIX-B7-217-2012.pdf; https://doaj.org/toc/1682-1750; https://doaj.org/toc/2194-9034 |
| DOI: | 10.5194/isprsarchives-XXXIX-B7-217-2012 |
| URL الوصول: | https://doaj.org/article/876a2eece2754368b682e4a6290ea659 |
| رقم الأكسشن: | edsdoj.876a2eece2754368b682e4a6290ea659 |
| قاعدة البيانات: | Directory of Open Access Journals |
Full Text Finder | تدمد: | 16821750 21949034 |
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| DOI: | 10.5194/isprsarchives-XXXIX-B7-217-2012 |