System and method for managing geodemographic data
A device includes: an image data receiving component operable to receive multiband image data of a geographic region; a surface index generation component operable to generate a surface index based on at least a portion of the received multiband image data; a classification component operable generate a land cover classification based on the surface index; a segment data receiving component operable to receive segment data relating to at least a portion of the geographic region; a zonal statistics component operable generate a segment land cover classification based on the land cover classification and the segment data; a feature data receiving component operable to receive feature data; a feature index generation component operable to generate a feature index based on the received feature data; and a catalog component operable to generate a segment feature index based on the feature index and the segment land cover classification.
1. A computer-implemented method for image analysis by a processor executing executable instructions stored in one or more non-transitory, tangible, computer readable media, the method comprising:
receiving, via an image data receiving component, a multiband image of a geographic region, the multiband image having pixels;
generating, via a surface index generation component, a surface index graphically indicative of one or more surface covering of the geographic region based on an analysis of the pixels of the received multiband image;
generating, via a classification component, a surface cover classification based on the surface index, wherein one or more of the pixels of the multiband image is classified by three or more statistical models, and assigned to one of a plurality of predetermined surface cover groups using a majority vote of classification for the pixel;
receiving, via a segment data receiving component, segment data of the geographic region indicative of surface boundaries of the geographic region defining one or more segments of the geographic region;
generating, via a zonal statistics component, a segment surface cover classification based on the surface cover classification of one or more of the pixels and the segment data indicative of the surface cover classification for one or more of the segments of the geographic region;
receiving, via a feature data receiving component, feature data indicative of characteristics associated with the geographic region;
generating, via a feature index generation component, a feature index based on the received feature data, wherein feature data within the geographic region are clustered by predetermined features and associated with the segment surface cover classification based on predetermined rules; and
generating, via a segment feature index generation component, a searchable segment feature index, based on the feature index and the associated segment surface cover classification, indicative of feature data for the one or more segment within the geographic region;
wherein the image data receiving component, the surface index generation component, the classification component, the segment data receiving component, the zonal statistics component, the feature data receiving component, the feature index generation component, and the segment feature index generation component comprise one or more of computer software and hardware.
2. The method of claim 1 , further comprising:
generating, via a grey level co-occurrence matrix generation component, a grey level co-occurrence matrix image band based on the received multiband image, wherein the gray level co-occurrence matrix generation component is one or more of computer software and hardware, and
wherein generating, via the classification component, the surface cover classification based on the surface index further comprises generating the surface cover classification additionally based on the grey level co-occurrence matrix image band.
3. The method of claim 2 , wherein receiving, via an image data receiving component, the multiband image of the geographic region comprises receiving the multiband image of the geographic region as an RGB and near infra-red image of the geographic region.
4. The method of claim 3 , wherein receiving, via an image data receiving component, the multiband image of the geographic region further comprises wherein the multiband image corresponds to an array of pixels, and
wherein said generating a first surface cover classification comprises generating the first surface cover classification by classifying each of the array of pixels of the multiband image as one of a group consisting of grass, a tree, a shrub, a paved surface, a man-made pool, a natural water body, and artificial turf.
5. The method of claim 4 , wherein the feature index is a first feature index and further comprising generating, via the feature index generation component, a second feature index based on predetermined Boolean associations of the first feature index.
6. The method of claim 5 , further comprising generating, via the segment feature index generation component, a third segment feature index based on a predetermined threshold of a second set of Boolean associations of the second feature index.
7. A non-transitory, tangible, computer-readable media having computer-readable instructions stored thereon, for use with a computer and being capable of instructing the computer to perform a method comprising:
receiving, via an image data receiving component a multiband image of a geographic region, the multiband image having pixels;
generating, via a surface index generation component, a surface index graphically indicative of one or more surface covering of the geographic region based on an analysis of the pixels of the received multiband image;
generating, via a classification component, a surface cover classification based on the surface index, wherein one or more of the pixels of the multiband image is classified by three or more statistical models, and assigned to one of a plurality of predetermined surface cover groups using a majority vote of classification for the pixel;
receiving, via a segment data receiving component, segment data of the geographic region indicative of surface boundaries of the geographic region defining one or more segments of the geographic region;
generating, via a zonal statistics component, a segment surface cover classification based on the surface cover classification of one or more of the pixels and the segment data indicative of the surface cover classification for one or more of the segments of the geographic region;
receiving, via a feature data receiving component, feature data indicative of characteristics associated with the geographic region;
generating, via a feature index generation component, a feature index based on the received feature data, wherein feature data within the geographic region are clustered by predetermined features and associated with the segment surface cover classification based on predetermined rules; and
generating, via a segment feature index generation component, a searchable segment feature index, based on the feature index and the associated segment surface cover classification, indicative of feature data for the one or more segment within the geographic region;
wherein the image data receiving component, the surface index generation component, the classification component, the segment data receiving component, the zonal statistics component, the feature data receiving component, the feature index generation component, and the segment feature index generation component comprise one or more of computer software and hardware.
8. The non-transitory, tangible, computer-readable media of claim 7 , wherein the computer-readable instructions are capable of instructing the computer to perform the method further comprising:
generating, via a grey level co-occurrence matrix generation component, a grey level co-occurrence matrix image band based on the received multiband image, wherein the gray level co-occurrence matrix generation component is one or more of computer software and hardware, and
wherein generating, via the classification component, the surface cover classification based on the surface index further comprises generating the surface cover classification additionally based on the grey level co-occurrence matrix image band.
9. The non-transitory, tangible, computer-readable media of claim 8 , wherein the computer-readable instructions are capable of instructing the computer to perform the method such that receiving the multiband image of the geographic region comprises receiving the multiband image of the geographic region as an RGB and near infra-red image of the geographic region.
10. The non-transitory, tangible, computer-readable media of claim 9 , wherein receiving, via an image data receiving component, the multiband image of the geographic region further comprises wherein the multiband image corresponds to an array of pixels, and
wherein said generating a first surface cover classification comprises generating the first surface cover classification by classifying each of the array of pixels of the multiband image as one of a group consisting of grass, a tree, a shrub, a paved surface, a man-made pool, a natural water body and artificial turf.
11. The non-transitory, tangible, computer-readable media of claim 10 , wherein the feature index is a first feature index and wherein the computer-readable instructions are capable of instructing the computer to perform the method further comprising generating, via the feature index generation component, a second feature index based on predetermined Boolean associations of the first feature index.
12. The non-transitory, tangible, computer-readable media of claim 11 , the computer-readable instructions being capable of being read by a computer and being capable of instructing the computer to perform the method further comprising generating, via the segment feature index generation component, a third segment feature index based on a predetermined threshold of a second set of Boolean associations of the second feature index.