Completing Fragmentary River Networks via Induced Terrain
نویسنده
چکیده
Fragmentary river segments have to be joined appropriately before becoming useful to addressing transportation problems like route planning and pollutant tracking. We suggest the induced terrain approach to complete the job with high accuracy and efficiency. By first approximating a terrain compatible with the partial river segment and height information, and then deriving a river network from that induced terrain, we effectively enforce the restrictions imposed by the height observations. Natural neighbor interpolation with stream burning is capable of generating induced terrains that predict river locations accurately without adjustment for any parameters. Considerable time is saved from executing the global river derivation again and again to figure out the optimal parameter values, especially when we are confronted with increasingly massive terrain dataset. In the subsequent river derivation, we propose biasing in favor of the known river locations. Their water amounts are set to the critical value just sufficient for the locations to be regarded as river locations. In the final thinning process, these locations are simply set not to be trimmed. All known river locations are thus fully recovered at the end. We expect the same techniques can be applied to the recovery of some other 2D and 3D networks, like road networks and dendrite networks.
منابع مشابه
Better completion of fragmentary river networks with the induced terrain approach by using known non-river locations
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