Using a cartographic modeling language to manipulate spectral satellite imagery

Land related information about the Earth's surface is commonIJ found in two forms: (1) map infornlation and (2) satellite image da ta. Satellite imagery provides a good visual picture of what is on the ground but complex image processing is required to interpret features in an image scene. Increasingly, methods are being sought to integrate the knowledge embodied in mop information into the interpretation task, or, alternatively, to bypass interpretation and perform biophysical modeling directly on derived data sources. A cartographic modeling language, as a generic map analysis package, is suggested as a means to integrate geographical knowledge and imagery in a process-oriented view of the Earth. Specialized cartographic models may be developed by users, which incorporate mapping information in performing land classification. In addition, a cartographic modeling language may be enhanced with operators suited to processing remotely sensed imagery. We demonstrate the usefulness of a cartographic modeling language for pre-processing satellite imagery, and define two nerv cartographic operators that evaluate image neighborhoods as post-processing operations to interpret thematic map values. The language and operators are demonstrated with an example image classification task.

Cartographic representation of spatiotemporal phenomena

Dissertação para obtenção do Grau de Mestre em Engenharia Informática

Geoheritage popularisation and cartographic visualisation in the Tsanfleuron-Sanetsch area (Valais, Switzerland)

This paper presents the underlying concepts developed by the Institute of Geography of the University of Lausanne (Switzerland) for a popularisation project of the geoheritage in the Tsanfleuron-Sanetsch area (Valais, Switzerland). Due to its wide scientific interest, the local geoheritage is of great value (Reynard, 2008). The article details the complementary links existing between the different parts of a geotourist project - databases, educational panels, educational material and geotourist map - developed for popularising the geoheritage value of the area. Each element of the project is briefly presented. Special focus is set on mapping questions: how cartographic design and information structure can be set in order to facilitate map's use and comprehension. In this way, the Tsanfleuron-Sanetsch map is presented as an applied example of the guiding principles proposed by Coratza and Regolini-Bissig (2009).

Grey Level Co-Occurrence Matrices: Generalisation And Some New Features

Grey Level Co-occurrence Matrices (GLCM) are one of the earliest techniques used for image texture analysis. In this paper we defined a new feature called trace extracted from the GLCM and its implications in texture analysis are discussed in the context of Content Based Image Retrieval (CBIR). The theoretical extension of GLCM to n-dimensional gray scale images are also discussed. The results indicate that trace features outperform Haralick features when applied to CBIR.

Robust non-orthogonal space-time block codes over highly correlated channels: a generalisation

Little has so far been reported on the robustness of non-orthogonal space-time block codes (NO-STBCs) over highly correlated channels (HCC). Some of the existing NO-STBCs are indeed weak in robustness against HCC. With a view to overcoming such a limitation, a generalisation of the existing robust NO-STBCs based on a 'matrix Alamouti (MA)' structure is presented.

Evaluation of the Cartographic Communication Performance of a Route Guidance and Navigation System

This study evaluates the influence of different cartographic representations of in-car navigation systems on visual demand, subjective preference, and navigational error. It takes into account the type and complexity of the representation, maneuvering complexity, road layout, and driver gender. A group of 28 drivers (14 male and 14 female) participated in this experiment which was performed in a low-cost driving simulator. The tests were performed on a limited number of instances for each type of representation, and their purpose was to carry out a preliminary assessment and provide future avenues for further studies. Data collected for the visual demand study were analyzed using non-parametric statistical analyses. Results confirmed previous research that showed that different levels of design complexity significantly influence visual demand. Non-grid-like road networks, for example, influence significantly visual demand and navigational error. An analysis of simple maneuvers on a grid-like road network showed that static and blinking arrows did not present significant differences. From the set of representations analyzed to assess visual demand, both arrows were equally efficient. From a gender perspective, women seem to took at the display more than men, but this factor was not significant. With respect to subjective preferences, drivers prefer representations with mimetic landmarks when they perform straight-ahead tasks. For maneuvering tasks, landmarks in a perspective model created higher visual demands.

DEVELOPMENT OF AN ALGORITHM TO ANALYZE CARTOGRAPHIC FEATURES EXTRACTION METHODS IN DIGITAL IMAGES

The algorithm creates a buffer area around the cartographic features of interest in one of the images and compare it with the other one. During the comparison, the algorithm calculates the number of equals and different points and uses it to calculate the statistical values of the analysis. One calculated statistical value is the correctness, which shows the user the percentage of points that were correctly extracted. Another one is the completeness that shows the percentage of points that really belong to the interest feature. And the third value shows the idea of quality obtained by the extraction method, since that in order to calculate the quality the algorithm uses the correctness and completeness previously calculated. All the performed tests using this algorithm were possible to use the statistical values calculated to represent quantitatively the quality obtained by the extraction method executed. So, it is possible to say that the developed algorithm can be used to analyze extraction methods of cartographic features of interest, since that the results obtained were promising.

Cartographic notes on the work in the Family Health Strategy: relationships between workers and the population

The objective of this intervention study was to map instituted and instituting movements present in the work of the Family Health Strategy in the development of their care practices. The theoretical framework is based on institutional analysis, using the schizoanalytic approach. Group meetings were carried out with the staff to discuss how they provided collective care in continuing health education. The study subjects were professionals from the team and students who were engaged in academic activity in the service. The average attendance was twelve people per meeting, and there were a total of eight meetings from March to July 2010. Data were grouped into two immanent strata: the relationships of the team and the relationship with clients. The strata point to the intersection of education and legal institutions and the social and technical division of labor. Collective thinking in groups appeared to be effective in denaturalizing established processes and interrogating places, knowledge and practices.

Cartographic characterization of the littoral camps of dunes

This work ls based on a atudy about tbe Dunes Camp of Maspalomas (fígure 1), in Gran Canaria Island (Spaln). Their sedimentary processes are detached and represented separately in order to delimit the diferent sedimentary and eolian sub-unit to get an "spectral" analysls. The developed analytic serie permit us to construct a sequence of thematic maps Later, the cartographlc puzzle is integrated, once the pbyslcal varieties of tbe sedimentary dynamycs that intervene in lbe terrltory 1s well konwn and clearly understood. Tbe cartography of integration or the general vision about the processes of both transport and sedimentary deposits contains yet enough information, inside a physical perspective ( based on the dune biotope ), to decide in relatlon to the arrangement, planning and management of the territory.

A generalisation of the fractional Brownian field based on non-Euclidean norms

We explore a generalisation of the L´evy fractional Brownian field on the Euclidean space based on replacing the Euclidean norm with another norm. A characterisation result for admissible norms yields a complete description of all self-similar Gaussian random fields with stationary increments. Several integral representations of the introduced random fields are derived. In a similar vein, several non-Euclidean variants of the fractional Poisson field are introduced and it is shown that they share the covariance structure with the fractional Brownian field and converge to it. The shape parameters of the Poisson and Brownian variants are related by convex geometry transforms, namely the radial pth mean body and the polar projection transforms.