Abstract: A computer-aided image interpretation method and a device thereof to easily obtain an accurate image interpretation result are provided. An automatic classification means of the image interpretation device performs automatic classification by one of spectral characteristics, radiometric characteristics, diffuse characteristics, textures and shapes, or combinations thereof and accumulates data to an interpretation result database, for plural features of the same kind obtained by interpreting a remote sensing image obtained with an observation sensor. A means for extracting candidate of modification of interpretation result extracts the candidate of modification of interpretation result by comparing likelihoods that are the automatic classification results. A reinterpretation is performed for the candidate of modification of interpretation, and an interpretation result database is updated by an interpretation result update means. As a result, modification of the interpretation work can be efficiently performed.

Abstract: A computer-aided image interpretation method and a device thereof to easily obtain an accurate image interpretation result are provided. An automatic classification means of the image interpretation device performs automatic classification by one of spectral characteristics, radiometric characteristics, diffuse characteristics, textures and shapes, or combinations thereof and accumulates data to an interpretation result database, for plural features of the same kind obtained by interpreting a remote sensing image obtained with an observation sensor. A means for extracting candidate of modification of interpretation result extracts the candidate of modification of interpretation result by comparing likelihoods that are the automatic classification results. A reinterpretation is performed for the candidate of modification of interpretation, and an interpretation result database is updated by an interpretation result update means. As a result, modification of the interpretation work can be efficiently performed.

Abstract: To provide a map generation device according to the present invention which extracts a polygon shape of a building having a complex upper portion structure from a wide area image. The map generation device includes an image appointment unit that receives appointment of at least one position in a building existing within an aerial photograph, a polygon extraction unit that extracts a building region based on a result of discriminating a color around the appointed position and extracts a polygon line of the building region, and a vector generation unit that generates a vector of the polygon line of the building region.

Abstract: To provide a map generation device according to the present invention which extracts a polygon shape of a building having a complex upper portion structure from a wide area image. The map generation device includes an image appointment unit that receives appointment of at least one position in a building existing within an aerial photograph, a polygon extraction unit that extracts a building region based on a result of discriminating a color around the appointed position and extracts a polygon line of the building region, and a vector generation unit that generates a vector of the polygon line of the building region.

Abstract: Disclosed here is a system for creating maps using multispectral landscape photographed images. The system comprises surface substance analyzing means for analyzing a multispectral landscape photographed image using a spectral information database, on-ground object identifying/analyzing means for identifying an on-ground object using the surface substance analytical result and the on-ground object information database; and outputting means for outputting map information according to the on-ground object identification/analytical result and output setting.

Abstract: A figure management system in which plural kinds of figures concerning the same part to be managed are modified. The figure management system includes a figure DB for storing data of figures including topological figures, an attribute DB for storing object attribute data, input and output devices, and a computer for managing figure and object attribute data. An ID code common to features indicating the same object is assigned. On input of a new figure, feature-attribute matching is performed between a feature having no ID code on the new figure and existent object attribute data. If any inconsistency is found the feature is indicated as a discrepant feature or a renewed feature.