Taiwan: “On-the-fly image process” is the main feature of SuperGIS Image Server recently released by SuperGeoTek. The function is based on the powerful image processing capability of the server to process the images on the server side to meet clients’ request and send the processed results back to the client side. The advantage is that single image source on the server can immediately produce multiple image products; therefore, it can prevent the file managing problems caused by multiple images being processed in advance. Thus, the demand of image storage and maintenance can be reduced, and the value of the images can be improved greatly.
SuperGIS Image Server provides 18 on-the-fly image process methods, which are listed as below. These methods are frequently applied in GIS and able to thoroughly satisfy users’ need.
1.Classify Pixel: Applies a simple classification of the pixels to the raster data used in the output image service.
2.Color Map: Transforms the pixel values to display the raster data as either a grayscale or RGB image, based on a color map.
3.Convert Pixel Type: Allows you to convert the pixel type of an image from one bit depth to another.
4.Convolution Filter: Performs filtering on the pixel values in an image, which can be used for sharpening an image, blurring an image, detecting edges within an image, or making other kernel-based enhancements.
5.Extract Bands: Extracts one or more bands from a multiband raster dataset.
6.Grayscale: Converts a multiband image to a single-band image and displays it using a gray color scale.
7.Histogram: Extracts a histogram and histogram statistics based on the image.
8.Image Algebra: Allows you to perform algebra on the spatially overlapping pixels from two raster bands or two raster datasets.
9.NDVI: Produces the Normalized Difference Vegetation Index (NDVI), allowing you to generate an image displaying relative biomass.
10.Ortho-rectification: Produces an orthorectified image based on a sensor definition and a terrain model.
11.Pan-sharpen : Fuses a high-resolution, panchromatic raster dataset with a lower-resolution multiband raster dataset.
12.Resample: Performs additional sampling of the image, if required. The process can be applied to a raster or raster dataset but not to a service.
13.Spectral Matrix: Applies a matrix to a multiband image to affect the spectral values of the output.
14.Stack Bands: Allows you to combine raster datasets of the same format and dimensions.
15.Stretching: Enhances an image by changing its contrast, brightness, and gamma.
16.Trend: Changes the radiometry of an image based on a correction surface, which can be used as a simple method to remove trends in images.
17.Visualize Elevation: Allows you to render (display) elevation data using various methods of visualization.
18.Watermark: Allows you to add digital watermark protection to the imagery you publish.