Through the analysis of the variograms for the entire scenes and local small areas, it is revealed that the ground spatial correlation length in NDVI map and sensor spatial resolution shows a linear relation in log-log plot. In order to search dependency of NDVI on spatial resolution of sensor, Haar discrete wavelet transform is exploited to derive resolution-reduced coarse data from the finest resolution data with sensor resolution of 2.8m acquired by Quickbird. To ensure obtained results of dependency of NDVI in simulated data with different resolutions, ASTER and MODIS data are also incorporated as well as data from Quickbird. It is shown decreasing tendency of standard deviation of NDVI values is proportional to the log of the sensor resolution. It also detected that the "range" of variogram is larger for area, which contains much natural objects such as vegetation than for area like urban area including many artifacts. It is desirable that we should take into account the ground spatial scale, which fits the sensor spatial resolution depending on the cover types, and the scale of areas to be investigated.
By making use of the information of the textile color blocks, reproduction of high-precision colors on fabrics that we call 'Color Image Fabrics' could be woven by Jacquard loom. Color components for each pixel on digitized original image are transformed into weaving data on textile by minimizing the color difference in CIEL*a*b* representation between the original image color and the simulated textile color.
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