Evaluering av maskinlæring brukt til endringsdeteksjon av arealtyper i AR5 basert på flybilder

The purpose of this study was to see if it was possible to make good detection program for detection of DNS tunnels in mobile networks based on machine learning. The data was suppose

Statistikken er basert på datasettene FKB-AR5, årsversjon 2013 (Arealressurskart i målestokk 1:5000) og Dyrkbar jord med arealtall fra FKB-AR5, årsversjon

– §2-1. Kart og stedfestet informasjon, Kart- og planforskriften,§5 Etablering og tilgang til det offentlige kartgrunnlaget: «Kommunen skal i samarbeid med staten sørge for

By means of analysing a photograph like the one presented here, it can be seen that major physical and social changes have taken place in the course of a time as short as 13

Finally, possible caveats of the look-up tables are discussed, especially the sparseness of the parameter sets involved and the related accuracy of the threshold values..

The total number of alarms on the total number of 14 SAR images in the test set is larger for the co-polarised bands than for cross-polarised bands; both for the N-sigma algorithm

WS-Discovery defines a multicast protocol using SOAP over UDP to locate services, a WSDL providing an interface for service discovery, and XML schemas for discovery messages.. It

The algorithm consists of the following main steps: 1) dark spot detection based on segmen- tation of the SAR image, 2) feature extraction from the segmented image, 3) classification