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- W2007674067 abstract "The effect of memory space reduction methods on metric quality of digital aerial images has been investigated. The methods used to reduce the data volume are increasing the pixel size and compressing the image by JPEG and ALP (adaptive Laplacian pyramid). Metric image quality was investigated on different objects using different measuring methods. The quality was examined by defining absolute errors and relative changes of the images. Choosing the pixel size, compression method, and compression ratio depends on the application. Important factors to be noted are the required accuracy, measuring method, and the size and type of the objects to be measured. On the test data (7.5 micrometers images) the pixel size could be doubled to 15 micrometers and compression ratio 1:10 used without any remarkable effect on the metric quality of the image. For most photogrammetric applications the pixel size 15 - 30 micrometers would be appropriate. When reduction was 1:1...1:10, compression methods caused smaller distortions than increasing the pixel size. However, when the reduction was bigger, the optimal result was achieved using larger pixel size and light compression.© (1994) COPYRIGHT SPIE--The International Society for Optical Engineering. Downloading of the abstract is permitted for personal use only." @default.
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- W2007674067 date "1994-08-17" @default.
- W2007674067 modified "2023-09-23" @default.
- W2007674067 title "<title>Effect of pixel size and compression on metric quality of digital aerial images</title>" @default.
- W2007674067 doi "https://doi.org/10.1117/12.182908" @default.
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