Geomatics Solutions for Disaster Management (Lecture Notes by Jonathan Li, Sisi Zlatanova, Andrea Fabbri PDF

By Jonathan Li, Sisi Zlatanova, Andrea Fabbri

Powerful usage of satellite tv for pc positioning, distant sensing, and GIS in catastrophe tracking and administration calls for learn and improvement in different components, together with facts assortment, details extraction and research, facts standardization, organizational and criminal points of sharing of distant sensing details. This booklet presents a great evaluation of what's being built within the probability prevention and catastrophe administration area.

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X During the Great Lakes refugee crisis in 1996 a good correlation could be established between the ephemeral nightlights and the location of refugee camps provided by UNHCR. In certain locations (refugee camps near Lake Vert), the lack of nightlights, from a certain date onwards, indicated that former refugee camps could have been abandoned. In other areas (north of Goma and south of Uvira) nightlight data suggested a possible presence of refugee camps not present in the UNHCR maps. Furthermore, in other areas, UNHCR admitted that the exact location of refugees was unknown.

R ® ¯0 otherwise (1) The characteristic function of the relation can be generalized to allow 2tuples of X to have degrees of membership to define a fuzzy relation on X. Thus, a fuzzy relation on X can be expressed by the characteristic function R: X×X ĺ [0, 1]. Generally, fuzzy relations on X can be distinguished on the basis of three different properties: reflectivity, symmetry, and transitivity. Let R(X, X) be a fuzzy relation on X. R(X, X) is reflexive iff R(xi, xi) = 1 for all xi Ӈ X; R(X, X) is symmetry iff R(xi, xj) = R(xj, xi) for all xi, xj Ӈ X; R(X, X) is max-min transitive if R(X, X) • max min{ R(xi, xk), R(xk, xj)} for all Ӈ X×X and xk Ӈ X.

A Fuzzy Relational Method For Image-Based Road Extraction 43 4. Experiments and results The proposed road extraction algorithm has been tested on two types of high resolution remote sensing images, including QuickBird and IKONOS images. In this paper, the results of road extraction for two typical resident areas are illustrated. The reason for this choice is that they have complicated scenes and irregular road shapes. The test images have a size of 250 × 250 pixels and 1 m resolution form Toronto area, see Figure 1.

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