Pasco Corporation

Nagaoka University of Technology

Incorporated Administrative Agency Public Works Research Institute

National University Corporation Nagaoka University of Technology

Hideki Shimamura

Kazunori Fujisawa

Lin Zhu

Yoichi Sugimoto

Kikuo Tachibana

Atsushi Rikimaru

Kazuyoshi Takahashi

Hiroko Fujiwara

Katsuya Homma

Hiroyuki Shimomura

Provided is a building roof outline recognition device which facilitates automation. A small-building candidate region is extracted based on normalized DSM data using a region segmentation method. By using the building candidate region as a marker and further using height information included in the normalized DSM data and the like, a building region is extracted using a region growing method. While referencing the height information, from among edges appearing in the orthoimage, edges fitting with an outer shape of the building region are extracted as an outer shape of the roof when viewed from above. Further, for a building judged to have a slanted roof, a roof structure line which is the boundary between the roof surfaces is extracted from the building region, and a three-dimensional structure of the building roof outline is determined from the roof outer shape and the roof structure line.

Building roof outline recognizing device, building roof outline recognizing method, and building roof outline recognizing program

It is an object to improve the accuracy of a house change judgment based on images and the like acquired by an airplane. A terrain altitude is subtracted from an attitude value of a digital surface model (DSM) acquired from an airplane or the like to generate a normalized DSM (NDSM). A judgment target region is segmented into a plurality of regions of elevated part for each elevated part with a size corresponding to a house appearing on the NDSM. An outline of the house is extracted from each region of elevated part and a house object containing three-dimensional information on the house is defined by the outline and NDSM data within the outline. The house objects acquired at two different time points, respectively, are compared to detect a variation between the two different time points, and a judgment as to a house change is made based on the variation.

House change judgment method and house change judgment program

Vegetation growth condition analyzer, method and record medium using plural radar imaees of a ground surface of a same target area, which have been laken at multiple times during the year obtained from a flying body, e.g. an artificial satellite are disclosed. These images are stored in a map database and aligned wjth a criterion image. Extracting a backscatter coefficient of a specified target area in the criterion image from the map database and calibrating the backscatter coefficients of other radar images are entailed. Finally, calculating growth values of vegetation shown in the radar images by use of the calibrated backscatter coefficients are obtained.

Vegetation growth condition analysis method, recording medium on which program is recorded, and vegetation growth condition analyzer

The invention is directed to the provision of a registration method and a placement assisting apparatus that can accurately register an object into a three-dimensional spatial database. More specifically, the invention provides a registration method for a location information tag, includes the steps of acquiring tag information of the location information tag, acquiring coordinate data that indicates scheduled placement information of the location information tag, acquiring positioning data that indicates placement location information of the location information tag, and registering the location information tag into a three-dimensional spatial database when an error between the coordinate data and the positioning data is within tolerance, and also provides a placement assisting apparatus for use in such a registration method.

Registration method and placement assisting apparatus for location information tag

Growing community of inventors

Tokyo, Japan

Hideki Shimamura