By combining coordinates of identifiable reference points in the image with detailed height data, we place each pixel in the correct geographic location.
If images form part of a time series, we ensure that the elements in each image are in exactly the same location.
By combining the spatial resolution of a detailed panchromatic image (only gray shades) and the color information of a less detailed multispectral image, we obtain a spatially detailed color image.
This conversion technique enables images to be compared and pixel values to be interpreted in quantitative analyses.
Mosaicking: we combine different overlapping images into one seamless mosaic of images.
Your image data can be converted to all sorts of formats, digital or print. The choice is yours.
What could GIM image conversion techniques mean for your organization? Discuss it with us.
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A GIM seminar in collaboration with CARTO, TomTom and Locatus
Together with its partner European Space Imaging, GIM offers a very interesting promotion on 30 cm WorldView imagery, including the newly available WorldView-4 sensor.