This document discusses a method for identifying the most salient mountains in images for annotation purposes. It involves analyzing EXIF metadata, computing apparent and prominence salience scores, and using viewshed analysis on digital elevation models. The goal is to annotate images with the most visually prominent mountains, not necessarily the highest summits. The method was tested on mountainous regions in Switzerland with preliminary results showing identification of mountains like the Matterhorn and Monte Cervino. Further work could expand evaluations and consider additional factors like distance, landform shape, and semantic salience from crowdsourced data.
The SLEUTH Urban CA-Based Model: an evaluation - ThéoQuant2007Matteo Caglioni
SLEUTH model has been developed by its author, Keith Clarke, as general model, suitable for all kinds of urban growth, in order to define a sort of DNA of urban systems (constituted by particular sets of model parameters). To be really general, we think that this model has to fit two general aspects: the urban sprawl and the rank-size rule.
We present an evaluation of Sleuth model through European case studies, showing the calibrated set of parameters which fit each city we have analysed, and showing how this model can predict urban growth and in particular the dynamic process of the sprawl, through the output maps of the Sleuth software. Moreover it’s possible to apply this model not only at single cities, but also to a wide territory (due to scale invariance), in order to predict the evolution of a system of cities; to do this we considered an ideal territory, built by ourselves, respecting the rank-size rule, evaluating the ability of the model to fit this aspect. We will present also the sensitivity analysis conducted on the 5 parameters of the model (see below), in order to establish how these parameters influence the growth of urbanized areas. The goal is a contribution for the ambitious Project Gigalopolis, investigating the meaning of the parameters of the model, and the common aspects among different type of urbanized areas, in order to build a “DNA of city” through the analysis of the outgoings produced by Sleuth.
The SLEUTH Urban CA-Based Model: an evaluation - ThéoQuant2007Matteo Caglioni
SLEUTH model has been developed by its author, Keith Clarke, as general model, suitable for all kinds of urban growth, in order to define a sort of DNA of urban systems (constituted by particular sets of model parameters). To be really general, we think that this model has to fit two general aspects: the urban sprawl and the rank-size rule.
We present an evaluation of Sleuth model through European case studies, showing the calibrated set of parameters which fit each city we have analysed, and showing how this model can predict urban growth and in particular the dynamic process of the sprawl, through the output maps of the Sleuth software. Moreover it’s possible to apply this model not only at single cities, but also to a wide territory (due to scale invariance), in order to predict the evolution of a system of cities; to do this we considered an ideal territory, built by ourselves, respecting the rank-size rule, evaluating the ability of the model to fit this aspect. We will present also the sensitivity analysis conducted on the 5 parameters of the model (see below), in order to establish how these parameters influence the growth of urbanized areas. The goal is a contribution for the ambitious Project Gigalopolis, investigating the meaning of the parameters of the model, and the common aspects among different type of urbanized areas, in order to build a “DNA of city” through the analysis of the outgoings produced by Sleuth.
The second part of the Introduction to new NVidia RTX graphics cards architecture and new Raytracing pipeline in DirectX12 (DXR) and Vulkan 1.2 libraries used in real-time rendering.
This presentation was presented during the Asian Soil Partnership workshop that took place in Bangkok 14-16 December 2017. The presentation was made by Dr. Rodelio Carating
http://www.fao.org/global-soil-partnership/en/
The second part of the Introduction to new NVidia RTX graphics cards architecture and new Raytracing pipeline in DirectX12 (DXR) and Vulkan 1.2 libraries used in real-time rendering.
This presentation was presented during the Asian Soil Partnership workshop that took place in Bangkok 14-16 December 2017. The presentation was made by Dr. Rodelio Carating
http://www.fao.org/global-soil-partnership/en/
Businesses need a new framework to strategically assess how to best grow their business in the new economy. A “roadmap” enables everyone to clearly understand what decisions need to be made, who needs to make them and when.
These are 8 different pieces from the first few weeks of my illustration class. Some of them are digital work done on the Wacom Tablet, and the rest are done by hand.
8A_2_A containment-first search algorithm for higher-order analysis of urban ...
7B_3_Matterhorn on the horizon
1. Martin Tomko, Ross S. Purves Matterhorn on the Horizon Identification of Salient Mountains for Image Annotation martin.tomko@geo.uzh.ch www.geo.uzh.ch/~mtomko
2. TRIPOD x,y,z,A View of Eiffel Tower in Paris View of Eiffel Tower in Paris x,y,z,A x,y,z,A View of Eiffel Tower in Paris
4. Overview Climb every mountain... Start from the most salient! EXIF Metadata and Camera DB Footprint Services: Viewport and Viewshed Data Processing/Mapping/Services & Configurations Tools Ongoing: Salience Computation
6. Overview EXIF Metadata and Camera DB Footprint Services: Viewport and Viewshed Data Processing/Mapping/Services & Configurations Tools Ongoing: Salience Computation But what’s it called?
17. Future work Larger evaluation Qualitative description of the horizon Consider distance, valleyness Explore landform shape salience, texture, name ridges,… Explore semantic salience (crowdsourced data)
18. Overview Climb every mountain,Ford every stream, Follow every rainbow,Till you find your dream. EXIF Metadata and Camera DB Footprint Services: Viewport and Viewshed Data Processing/Mapping/Services & Configurations Tools Ongoing: Salience Computation
19. Overview Thank you! EXIF Metadata and Camera DB Footprint Services: Viewport and Viewshed Data Processing/Mapping/Services & Configurations Tools Ongoing: Salience Computation
Editor's Notes
Region = bounded geographic footprintProminence -> e.g., visual salience, have been previously studied for the identification of individual prominent spatial features
Region = bounded geographic footprintProminence -> e.g., visual salience, have been previously studied for the identification of individual prominent spatial features
Region = bounded geographic footprintProminence -> e.g., visual salience, have been previously studied for the identification of individual prominent spatial features
Region = bounded geographic footprintProminence -> e.g., visual salience, have been previously studied for the identification of individual prominent spatial features
Region = bounded geographic footprintProminence -> e.g., visual salience, have been previously studied for the identification of individual prominent spatial features
Region = bounded geographic footprintProminence -> e.g., visual salience, have been previously studied for the identification of individual prominent spatial features
Region = bounded geographic footprintProminence -> e.g., visual salience, have been previously studied for the identification of individual prominent spatial features
Region = bounded geographic footprintProminence -> e.g., visual salience, have been previously studied for the identification of individual prominent spatial features
Region = bounded geographic footprintProminence -> e.g., visual salience, have been previously studied for the identification of individual prominent spatial features