Optical process for producing classification maps from multispectral dataġ. Process for the interpretation of remotely sensed data Interactive color display for multispectral imagery using correlation clustering Method of collecting and processing spectral data for the earth's surfaceĪpparatus for obtaining multi-spectral signatures Method of comparing spectra to identify similar materials Multispectral signature extraction techniqueĬolor analysis based upon transformation to spherical coordinates a vegetation index) can be estimated, and atmospheric scattering and absorption effects are empirically corrected, interactively.Ĭomputer controlled, 3-CCD camera, airborne, variable interference filter imaging spectrometer system The percent of vegetation ground-cover (i.e. Included is a method to accomplish automatic, hierarchical classification of the images without operator intervention. The graphical ternary diagram ( 34) and false-color multispectral image display ( 46) are linked in real-time through a lookup-table ( 43) to allow an operator to interactively alter each of them through a change to the other. A spectral library ( 49), convolved to the bandwidth of the employed multispectral sensor bandpasses, and converted to ternary percentages, is utilized to locate specific spectral targets. Further discrimination within the separate vegetation ( 10) and mineral ( 11) point clusters is possible. Vegetation ( 10) and mineral clusters ( 11) are separated easily. Additionally, the ternary diagram feature space is segmented to define thematic classes and allow thematic classification with a computer. The percentages of each of the three bands are plotted on a ternary diagram ( 34), which is used as a graphical device to allow target identification. The successful application relies on the use of images from optimal bands those bands include a near-infrared, mid-infrared, and visible band. A method and process is disclosed for computer processing and display of remote sensing, multispectral imagery for the purpose of identifying ground targets and classifying the imagery to create thematic maps.