Using eCognition to improve feature recognition.

Mar 31, 2016Download as pptx, pdf0 likes35,941 views

Presentation of MSc research at the CAA 2016 - Oslo. Session 20 "Computer vision vs human perception in remote sensing image analysis: Time to move on".

Using eCognition to
improve feature
recognition.

Case study: barrow
detection using
eCognition.

Roundbarrow
Mound
Round
has shape
is defined by
…
(varied sizes)
has size
Ditch
possibly
surrounded by
Bank
possibly
surrounded by
Flora
Agriculture
possibly
(partly)
levelled
Fauna
possibly
(partly)
destroyed
has landcover
Barrow Earthworkis type of is type of
is type of

Barceló, J. A. 2008. Computational Intelligence in Archaeology, Hershey, New York, IGI.
Blaschke, T., and Strobl, J. 2001. What's wrong with pixels? Some recent developments interfacing
remote sensing and GIS. Geo-Informations-Systeme, 14, 12-17.
van den Eeckhaut, M., Kerle, N., Poesen, J., and Herv‡s, J. 2012. Identification of vegetated landslides
using only a Lidar-based terrain model and derivatives in an object-oriented environment. Proceedings
of the 4th GEOBIA, 211.
Niemeyer, I., Marpu, P. R., and Nussbaum, S. 2008. Change detection using object features. In:
Blaschke, T., Lang, S., and Hay, G. J. (eds.) Object-Based Image Analysis: Spatial Concepts for
Knowledge-Driven Remote Sensing Applications. Verlag: Springer.
TRIMBLE eCognition Developer 9.1

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AAG_presCharles Calhoun, CTFL

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Detection of Vegetation Coverage in Urban Agglomeration of Brussels by NDVI I...Universität Salzburg

Detection of vegetation coverage in urban agglomeration of Brussels by NDVI indicator using eCognition software and remote sensing measurements Lemenkova Polina Introduction The study area encompasses selected regions of the Brussels municipality, Belgium. In the past years the city of Brussels is experiencing intensification of the density of building structures. Unlike in some other European cities, where the most evident problem is urbanization and expansion of the city margins to the suburbia, the urban structure Brussels is the intensification of the buildings density in the city centre and the existing dwelling districts. Thus, the city structure tends to become more intense and dense, due to the process of filling the empty spaces in the urban patterns and high level housing. Another example of urban processes in Brussels is reorganisation of the industrial areas. At the same time, monitoring vegetation areas is essential for environmental sustainability of the capital city. The lack of the green spaces may cause ecological instability and increase atmospheric pollution. For studies of the specific problems of the Brussels city the remote sensing data (raster image) was used together with NDVI function, in order to detect areas covered by city parks. Acknowledgement: Current work has been supported by Bourse d'excellence, Service de Bourse d' ́ etude, Wallonie-Bruxelles International for research stay of Polina Lemenkova at l'Université libre de Bruxelles.

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This document introduces potential GIS projects and data sources for students. It outlines free GIS software and basemaps that are available, including topographic maps, aerial photos, and datasets from the Nebraska Department of Natural Resources. Example projects described include site characterization of Fort Robinson and endangered species conservation. Data can be analyzed and maps created to identify habitat areas and track species distributions. Students are encouraged to contact the author to learn more about conducting their own GIS analyses.

Application of terrestrial 3D laser scanning in building information modellin...Martin Ma

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OrangeNXT - High accuracy mapping from videos for efficient fiber optic cable...BigDataExpo

1. The document proposes using convolutional neural networks and labeled image data from municipal maps to develop a system for high-accuracy mapping from street-level videos. 2. Labeled image data from municipal maps would be used to train convolutional neural networks to detect and map objects like trees, lampposts, and traffic signs from street-level panoramic images. 3. A prototype system is able to detect some objects beyond what is in municipal maps, like driveways and gardens, but challenges remain in accurately mapping 3D objects from 2D images. The system would allow for inexpensive, on-demand, and up-to-date mapping of cities from street-level panoramic videos captured from vehicles.

Introduction to GeoinformaticsKU Leuven

Ilf euregeo 2012 poster 1Ricardo Brasil

This document discusses using artificial intelligence and geographic information systems to automatically map soils in Portugal. Specifically, it aims to 1) predict soil classes in currently unmapped areas of Portugal and 2) harmonize soil legends across regions with different soil mapping classifications in Portugal and Spain. It notes that while soil surveys have been done, map coverage and consistency between classifications is lacking. The project, AutoMAPticS, will use artificial neural networks trained on existing soil maps and data to generate new, more detailed and consistent soil maps at a national level. It addresses challenges like data resolution, model parameters, and geographical transferability.

Automatic traffic light controller for emergency vehicle using peripheral int...IJECEIAES

Traffic lights play such important role in traffic management to control the traffic on the road. Situation at traffic light area is getting worse especially in the event of emergency cases. During traffic congestion, it is difficult for emergency vehicle to cross the road which involves many junctions. This situation leads to unsafe conditions which may cause accident. An Automatic Traffic Light Controller for Emergency Vehicle is designed and developed to help emergency vehicle crossing the road at traffic light junction during emergency situation. This project used Peripheral Interface Controller (PIC) to program a priority-based traffic light controller for emergency vehicle. During emergency cases, emergency vehicle like ambulance can trigger the traffic light signal to change from red to green in order to make clearance for its path automatically. Using Radio Frequency (RF) the traffic light operation will turn back to normal when the ambulance finishes crossing the road. Result showed the design is capable to response within the range of 55 meters. This project was successfully designed, implemented and tested.

Anna univ Remote sensing and GIS Mouna Guru

Remote sensing involves obtaining information about an object or area through analysis of data from a device not in direct contact. It uses electromagnetic radiation and various sensors to capture images. Atmospheric factors like absorption and scattering can influence images. Images have spatial, spectral, and radiometric resolution as well as temporal resolution. Interpretation examines shape, size, patterns, tones, textures, and shadows. Applications include land use mapping, geology, agriculture, forestry, wetlands, archaeology, and more. Remote sensing provides improved perspectives, permanent records, and access to inaccessible areas to assess natural resources.

Cornell noteshanslunow

This document provides an overview of key concepts in geography, including the differences between physical and human geography, the five themes of geography such as location and human-environment interaction, different types of maps and their purposes, and contemporary geographic tools like GIS and remote sensing. It also discusses similarities among places including globalization, distribution patterns, and connections between locations.

Arenas_CVhelbert arenas

Helbert Arenas has extensive experience in geographic information systems, remote sensing, and semantic web technologies. He has worked as a postdoctoral researcher at the University of Burgundy in Dijon, France since 2012. Prior to that, he was a research assistant at Louisiana State University from 2006 to 2012. He has published several peer-reviewed papers in international journals and conferences on topics related to land cover change analysis, geospatial data discovery, and spatiotemporal modeling. He is fluent in English, Spanish and has intermediate skills in French.

University of Nottingham - NGI Geospatial Science Example ActivitiesJeremy Morley

The document discusses research areas and projects at the Nottingham Geospatial Institute including spatial data infrastructures, geospatial analysis, openness and interoperability, location-based services, geosemantics, geoinformatics, 3D GIS, crowdsourcing, planetary, and agricultural applications. It provides examples of PhD projects on topics such as crowd-sourcing 3D building interiors, engaging communities for mapping water supplies, and identifying geological features on Mars using crowd-sourcing. Current activities and projects are also listed relating to areas of crowdsourcing, pervasive computing, semantics, spatial interfaces, 3D modeling, open source software and data, and sensor web technologies.

AstroCV: A computer vision library for AstronomyRoberto Muñoz

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IMED 2018: An intro to Remote Sensing and Machine LearningLouisa Diggs

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3d Modelling of Structures using terrestrial laser scanning techniqueIJAEMSJORNAL

In recent times, interest in the study of engineering structures has been on the rise as a result of improvement in the tools used for operations such as, As-built mapping, deformation studies to modeling for navigation etc. There is a need to be able to model structure in such way that accurate needed information about positions of structures, features, points and dimensions can be easily extracted without having to pay physical visits to site to obtain measurement of the various components of structures. In this project, the data acquisition system used is the terrestrial laser scanner, High Definition Surveying (HDS) equipment; the methodology employed is similar to Close Range Photogrammetry (CRP). CRP is a budding technique or field used for data acquisition in Geomatics. It is a subset of the general photogrammetry; it is often loosely tagged terrestrial photogrammetry. The terrestrial laser scanning technology is a data acquisition system similar to CRP in terms of deigning the positioning of instrument and targets, calibration, ground control point, speed of data acquisition, data processing (interior, relative and absolute orientation) and the accuracy obtainable. The aim of this project was to generate the three-dimensional model of structures in the Faculty of Engineering, University of Lagos using High Definition Surveying, the Leica Scan Station 2 HDS equipment was used along with Cyclone software for data acquisition and processing. The result was a 3D view (of point clouds) of the structure that was studied, from which features were measured from the model generated and compared with physical measurement on site. The technology of the laser scanner proved to be quite useful and reliable in generating three dimensional models without compromising accuracy and precision. The generation of the 3D models is the replica of reality of the structures with accurate dimensions and location.

Application of remote sensingsiddhant_2055

This document discusses various applications of remote sensing including land cover/land use mapping, agriculture, forestry, geology, geomorphology, urban analysis, hydrology, mapping, and ocean/coastal monitoring. Remote sensing is used for tasks such as crop health monitoring, deforestation detection, structural and terrain analysis, water quality monitoring, flood mapping, and oil spill monitoring. It provides data to study a wide range of Earth science topics and human impacts on the environment.

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The role of Computer Vision in AstronomyRoberto Muñoz

Geological Society Higher Education Network (HEN 2012) meeting - 18 Jan 2012 ...Liz FitzGerald

1. Students evaluated techniques for using mobile devices to provide digital geographic information to augment real landscape experiences. 2. Techniques included computer-generated overlays, custom applications, mediascape apps, Google Earth, and head-mounted displays. 3. Students found that simplicity was important, and that design should focus on mimicking an expert pointing out features and making audio geographically relevant over graphics.

Remote sensing kalyanabooshnam

This document discusses remote sensing and geographical information systems. It defines remote sensing as obtaining information about the Earth's surface without direct contact using sensors. Applications of remote sensing include urban planning, agriculture, and environmental monitoring. Geographical information systems integrate spatial data to analyze and visualize patterns. The document outlines how remote sensing from satellites provides a global perspective and both technologies are useful for civil engineering tasks like infrastructure planning, site analysis, and structural health monitoring.

IMED 2018: Innovations and Challenges in the Use of Open-source Remote Sensin...Louisa Diggs

Remote Sensing and its ApplicationRashmi Yadav

Introduction -Remote means – far away ; Sensing means – believing or observing or acquiring some information. Remote sensing means acquiring information of things from a distance with sensors. (without touching the things) Sensors are like simple cameras except that they not only use visible light but also other bands of the electromagnetic spectrum such as infrared, microwaves and ultraviolet regions. Distance of Remote Sensing, Definition of remote sensing - Remote Sensing is: “The art and science of obtaining information about an object without being in direct contact with the object” (Jensen 2000). India’s National Remote Sensing Agency (NRSA) defined as : “Remote sensing is the technique of deriving information about objects on the surface of the earth without physically coming into contact with them.” Remote Sensing Process, - (A) Energy Source or Illumination. (B) Radiation and the Atmosphere. (C) Interaction with the Target. (D) Recording of Energy by the Sensor. (E) Transmission, Reception, & Processing. (F) Interpretation and Analysis. (G) Application. Remote sensing platforms , History of Remote Sensing, Applications of remote sensing - In Agriculture, In Geology, Applications of National Priority.

REMOTE SENSING AND GEOGRAPHIC INFORMATION SYSTEMS AM Publications

Remote sensing technology's increasing accessibility helps us observe research and learn about our globe in ways we could only imagine a generation ago. Guides to profound knowledge of historical, conceptual and practical uses of remote sensing which is increasing GIS technology. This paper will go briefly through remote sensing benefits, history, technology and the GIS and remote sensing integration and their applications. Remote sensing (RS) is used in mapping the predicted and actual species and dominates the ecosystem canopy.

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Using eCognition to improve feature recognition.

1. Using eCognition to improve feature recognition.

4. Cognitive computing in Geomorphology.

8. Computing to imitate archaeologists.

15. Case study: barrow detection using eCognition.

22. Discussion and future scope.

24. Roundbarrow Mound Round has shape is defined by … (varied sizes) has size Ditch possibly surrounded by Bank possibly surrounded by Flora Agriculture possibly (partly) levelled Fauna possibly (partly) destroyed has landcover Barrow Earthworkis type of is type of is type of

25. Thank you.

26. Barceló, J. A. 2008. Computational Intelligence in Archaeology, Hershey, New York, IGI. Blaschke, T., and Strobl, J. 2001. What's wrong with pixels? Some recent developments interfacing remote sensing and GIS. Geo-Informations-Systeme, 14, 12-17. van den Eeckhaut, M., Kerle, N., Poesen, J., and Herv‡s, J. 2012. Identification of vegetated landslides using only a Lidar-based terrain model and derivatives in an object-oriented environment. Proceedings of the 4th GEOBIA, 211. Niemeyer, I., Marpu, P. R., and Nussbaum, S. 2008. Change detection using object features. In: Blaschke, T., Lang, S., and Hay, G. J. (eds.) Object-Based Image Analysis: Spatial Concepts for Knowledge-Driven Remote Sensing Applications. Verlag: Springer. TRIMBLE eCognition Developer 9.1

Editor's Notes

#8: Beginning 20th century - Remote sensing (raster) vs. GIS (predominantly vector) Hierarchical grouping of smaller segmented image elements based on decision rules The data used in their research consisted of scanned aerial photography with a 0.25 m ground sample distance of Southampton, England, obtained from the Ordnance Survey of Great Britain (figure 20, left). Most boundaries in remotely sensed images consist of both an intensity and texture boundary. In this case the gradient of each of these images were fused into one image (figure 20, middle) which enabled the segmentation of meaningful objects (figure 20, right). The achieved results were very accurate and outperformed the generally applied Canny gradient operator.
#10: The main problems in rule definition within the archaeological record is that it is almost always incomplete: not all past material things have remained until today or are found destructed. So, in order to replicate an archaeologist it must be able to reconstruct incomplete data for which Barceló— (2008, 49) identified the following key concepts.
#11: Compound features Geomorphic fingerprint Separated by principles of vision
#12: Bronze age barrow cemetery, Oxfordshire by Hamish Fenton 2003
#13: Bronze age barrow cemetery, Oxfordshire by Hamish Fenton 2003
#14: Bronze age barrow cemetery, Oxfordshire by Hamish Fenton 2003
#15: Bronze age barrow cemetery, Oxfordshire by Hamish Fenton 2003
#17: Avebury is a Neolithic henge monument which contains the largest stone circle in Europe.
#24: Discussion platform of eCognition is good, like Stackoverflow
#25: Short term: object based. With real investments we can move towards machine learning and pixel based: good database of features.

Using eCognition to improve feature recognition.

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