An analysis was made for “a ghost like image defect”which was found in the specific OCTS (Ocean Color and Temperature Scanner onboard ADEOS: Advanced Earth Observing Satellite) data. It is found that the influences of the defect is around 10 [%] in terms of the radiance of the surrounding normal pixels. It is also found that the most possible reason for this is caused by the beam splitter No. 2 of OCTS optics. Due to the fact that the defect of OCTS band 7 is occurred at almost same location compared to the defect of band 8 while those of band 6 and 8 are occurred at a different location so that it is better to use the ratio of the upwelling radiance of aerosol particles between bands 7 and 8 rather than bands 6 and 8, the effectiveness of the aerosol model estimation of the bands 6 and 8 is better than that of bands 7 and 8 though.
A method for Earth observation satellite image database retrieve based on indexing of the spatial features extracted from the imagery data is proposed. In order to extract edges from the imagery data, the well known relaxation method and the thining algorithm are used. From the edges, spatial features, line, arc as well as circle are extracted. The proposed method is compared to the generalized Hough conversion method. It is found that the proposed method allows to extract arbitrary spatial features intentionally while the generalized Hough conversion method does not because the control parameters of the method is not enough. It is also found that the required computer resources are almost compatible. Using such spatial features, the portion of images with such features are retrieved from the imagery data.
In digital maps, positions are usually given by latitude and longitude, while topographic maps and satellite images are projected on the UTM coordinate system. In order to overlay them, the map projections should be converted each other. In this report, we investigate error factors of the conversion and evaluate their accuracy. Based on these analysis, we propose a practical algorithm, of which accuracy is enough for the conversion of the topographic maps and satellite images.