Framework road change detection map updating japanese dating games in english online

Objects or regions are obtained from image segmentation, map data, or combination of these.Knowledge-based interpretation can be based on user-defined rules, and it allows to combine information from different remotely sensed datasets and existing maps. The objective is to to use new aerial ortho images and object-based interpretation to detect parcels that include non-field objects and thus need updating.

framework road change detection map updating-26

Reports of the Finnish Geodetic Institute, (99:8), 46 p.). Estimating drainage area-based snow-cover percentages from NOAA AVHRR images.

Further information on the method: Matikainen, L., Kuittinen, R.

Urban planners and environmental monitoring stakeholders of Wallonia have to rely on outdated, mixed, and incomplete LC and LU information. The two object-based classification methods, i.e., a rule- and a classifier-based method, for detailed regional urban LC mapping are compared.

The added value of using the different existing geospatial datasets in the process is assessed.

Rules can also be developed automatically, for example, by applying the classification tree method.

Segmentation of a Landsat TM satellite image into homogeneous regions (Figure from the report: Matikainen, L., Yu, X., Kuittinen, R. Updating topographic maps by using multisource data and knowledge-based interpretation. Snow cover percentages of drainage areas on 20 April 1999 estimated from a NOAA AVHRR satellite image. (Figure from the report: Matikainen, L., Grandell, J., Kuittinen, R. Snowmelt monitoring using multisource satellite image and ground measurement data.

The results have been good, evaluated both visually and numerically on the basis of classification accuracy. Multitemporal interferometric SAR data were used in the classification. Object-based and knowledge-based interpretation methods have been applied in our research.

Classes: forest, open area, built-up area (three classes according to building density), water mask, missing data. In object-based interpretation, homogeneous objects or regions are interpreted instead of single pixels.

Object-based and knowledge-based interpretation methods are applied in the research. They are also promising objects for automatic interpretation applications because they can be found relatively reliably from current laser scanner and aerial image datasets.

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