Browsing by Keywords "Spatial relationships"
Now showing items 1-14 of 14
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Automatic detection of compound structures by joint selection of region groups from a hierarchical segmentation
(Institute of Electrical and Electronics Engineers, 2016)A challenging problem in remote sensing image analysis is the detection of heterogeneous compound structures such as different types of residential, industrial, and agricultural areas that are composed of spatial arrangements ... -
Automatic detection of compound structures by joint selection of region groups from multiple hierarchical segmentations
(Bilkent University, 2016-09)A challenging problem in remote sensing image interpretation is the detection of heterogeneous compound structures such as different types of residential, industrial, and agricultural areas that are comprised of spatial ... -
Building detection using directional spatial constraints
(2010)We propose an algorithm for automatic detection of buildings with complex shapes and roof structures in very high spatial resolution remotely sensed images. First, an initial oversegmentation is obtained. Then, candidate ... -
Detection of compound structures by region group selection from hierarchical segmentations
(Institute of Electrical and Electronics Engineers Inc., 2016)Detection of compound structures that are comprised of different arrangements of simpler primitive objects has been a challenging problem as commonly used bag-of-words models are limited in capturing spatial information. ... -
A framework for applying the principles of depth perception to information visualization
(Association for Computing Machinery, 2013)During the visualization of 3D content, using the depth cues selectively to support the design goals and enabling a user to perceive the spatial relationships between the objects are important concerns. In this novel ... -
Image information mining using spatial relationship constraints
(Bilkent University, 2012)There is a huge amount of data which is collected from the Earth observation satellites and they are continuously sending data to Earth receiving stations day by day. Therefore, mining of those data becomes more important ... -
Image mining using directional spatial constraints
(Institute of Electrical and Electronics Engineers, 2010-01)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 ... -
Learning bayesian classifiers for scene classification with a visual grammar
(IEEE, 2005)A challenging problem in image content extraction and classification is building a system that automatically learns high-level semantic interpretations of images. We describe a Bayesian framework for a visual grammar that ... -
Mining of remote sensing image archives using spatial relationship histograms
(2008)We describe a new image representation using spatial relationship histograms that extend our earlier work on modeling image content using attributed relational graphs. These histograms are constructed by classifying the ... -
Morphological modeling of position-based spatial relationships
(2007)Spatial information plays a very important role in image understanding. Fuzzy mathematical morphology provides an effective basis for extracting binary and ternary spatial relationships by creating a fuzzy landscape where ... -
Object detection with contextual inference
(2009)In this paper, an object detection system that utilizes contextual relationships between individually detected objects to improve the overall detection performance is introduced. The first contribution in this work is the ... -
An object recognition framework using contextual interactions among objects
(Bilkent University, 2009)Object recognition is one of the fundamental tasks in computer vision. The main endeavor in object recognition research is to devise techniques that make computers understand what they see as precise as human beings. The ... -
Relative position-based spatial relationships using mathematical morphology
(2007)Spatial information is a crucial aspect of image understanding for modeling context as well as resolving the uncertainties caused by the ambiguities in low-level features. We describe intuitive, flexible and efficient ... -
Scene classification using bag-of-regions representations
(2007)This paper describes our work on classification of outdoor scenes. First, images are partitioned into regions using one-class classification and patch-based clustering algorithms where one-class classifiers model the regions ...
