Image Mining Using Directional Spatial Constraints

Download

index.pdf

Date

2010-01-01

Author

AKSOY, SELİM
Cinbiş, Ramazan Gökberk

Metadata

Show full item record

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Item Usage Stats

182
views

0
downloads

Spatial information plays a fundamental role in building high-level content models for supporting analysts' interpretations and automating geospatial intelligence. We describe a framework for modeling directional spatial relationships among objects and using this information for contextual classification and retrieval. The proposed model first identifies image areas that have a high degree of satisfaction of a spatial relation with respect to several reference objects. Then, this information is incorporated into the Bayesian decision rule as spatial priors for contextual classification. The model also supports dynamic queries by using directional relationships as spatial constraints to enable object detection based on the properties of individual objects as well as their spatial relationships to other objects. Comparative experiments using high-resolution satellite imagery illustrate the flexibility and effectiveness of the proposed framework in image mining with significant improvements in both classification and retrieval performance.

Subject Keywords

Geotechnical Engineering and Engineering Geology, Electrical and Electronic Engineering

URI

https://hdl.handle.net/11511/38429

Journal

IEEE GEOSCIENCE AND REMOTE SENSING LETTERS

DOI

https://doi.org/10.1109/lgrs.2009.2014083

Collections

Department of Computer Engineering, Article

Suggestions

OpenMETU
Core

Wireless networking in tunnelling projects Nielsen, Yasemin; Koseoglu, Ozan (Elsevier BV, 2007-05-01) Emerging collaborative technologies and working methods often require tremendous engineering and organisational efforts for successful implementation of information and communication technologies (ICTs). According to a research conducted in Turkish construction industry, most of the problems that occur during the construction phase are due to lack of co-operation and communication between designers and contractors and lack of prompt expert decisions during on-site engineering. Similar to any major construct...
Multipath Characteristics of Frequency Diverse Arrays Over a Ground Plane Cetintepe, Cagri; Demir, Şimşek (Institute of Electrical and Electronics Engineers (IEEE), 2014-07-01) This paper presents a theoretical framework for an analytical investigation of multipath characteristics of frequency diverse arrays (FDAs), a task which is attempted for the first time in the open literature. In particular, transmitted field expressions are formulated for an FDA over a perfectly conducting ground plane first in a general analytical form, and these expressions are later simplified under reasonable assumptions. Developed formulation is then applied to a uniform, linear, continuous-wave opera...
Well test model identification by artificial neural networks Kök, Mustafa Verşan (Informa UK Limited, 2000-01-01) The aim of this research is to investigate the performance of artificial neural networks computing technology, to identify preliminary well test interpretation model based on derivative plot. The approach is based on training the neural network simulator uses back-propagation as the learning algorithm for a predefined range of analytically generated well test response. The trained network is then requested to identify the well test identification model for test data, which is not used during training sessio...
Use of simulated ground motions for the evaluation of energy response of simple structural systems Karim Zadeh Naghshineh, Shaghayegh; Askan Gündoğan, Ayşegül; Erberik, Murat Altuğ (Elsevier BV, 2019-08-01) The literature on energy-based seismic design and assessment methodologies of structural systems mostly relies on real ground motion datasets. However, certain bias exists due to lack of homogeneity in available ground motion datasets. In this study, a large set of ground motions is simulated. Next, the effects of various parameters on seismic behavior of SDOF systems in terms of energy are studied using nonlinear time history analyses. The stochastic finite-fault simulations are performed on the western pa...
Direction finding accuracy of sequential lobing under target amplitude fluctuations Candan, Çağatay (Institution of Engineering and Technology (IET), 2015-01-01) Using recently developed statistical target fluctuation models, the accuracy of sequential lobing is analytically studied. The study shows that the sequential lobing method suffers from a significant performance loss, in comparison with the monopulse method, for the Rayleigh fluctuation model. For other fluctuation models, the performance loss gradually decreases as the amplitude spread associated with the fluctuation gets smaller. The present study aims to analytically quantify the mentioned accuracy loss ...

Citation Formats

S. AKSOY and R. G. Cinbiş, “Image Mining Using Directional Spatial Constraints,” IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, pp. 33–37, 2010, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/38429.