Vector-guided vehicle detection from high-resolution satellite imagery

Jin, Xiaoying; Davis, C.H.

doi:10.1109/igarss.2004.1368603

Cited by 7 publications

(3 citation statements)

References 6 publications

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“…Xiaoying Jin Curt and h. Davis [10,11] using morphological neural network weights sharing technology road to divide image pixels into targets and non-targets. A. Gerhardinger et al [12] evaluated the potential of vehicle detection and counting from high resolution satellite imagery, and compared the two sources, IKONOS and QuickBird data, put forward a method to enhance the classification performance of image preprocessing, and tested automatic feature extraction process.…”

Section: Applied Mechanics and Materialsmentioning

confidence: 99%

“…Alba Flores[9] presented two threshold algorithms, threshold and Ostu threshold method, to detect vehicles by clustering analysis on the highway in the United States from 1 m resolution IKONOS panchromatic images. Experiments show that vehicle detection and counting has the very good effect, the error is less than 10%, the main reason for the error is caused by a shadow over roads, ramps, trees and the traffic jams.Xiaoying Jin Curt and h. Davis[10,11] using morphological neural network weights sharing technology road to divide image pixels into targets and non-targets. A. Gerhardinger et al[12] evaluated the potential of vehicle detection and counting from high resolution satellite imagery, and compared the two sources, IKONOS and QuickBird data, put forward a method to enhance the classification performance of image preprocessing, and tested automatic feature extraction process.…”

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confidence: 99%

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The Analysis and Advanced Development of Traffic Flow Information Acquisition Technology in ITS

Liu

Lan

Zhang

2014

AMM

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According to the characteristics and existing problem of the stationary and moving traffic flow information collection technology, this paper proposes the traffic information detection’s new ideas and methods based on satellite images, this paper systematically analysis and summarized the traffic flow information collection technology for the vehicle queues, single vehicle targets and moving vehicles at home and abroad based on satellite remote sensing image, and points out the research emphasis in future.

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Section: Applied Mechanics and Materialsmentioning

confidence: 99%

mentioning

confidence: 99%

The Analysis and Advanced Development of Traffic Flow Information Acquisition Technology in ITS

Liu

Lan

Zhang

2014

AMM

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“…We can highlight applications to document analysis [7]; template and pattern matching [4,19,33]; boundary and edge extraction [16,22]; face detection and localization [11,32]; medical image analysis [27,8]; building and vehicle detection [18,21,38]; satellite and astronomical image analysis [1,29,17] and analysis of geographic and topographic data [37,40]. But in many of these applications the hit-or-miss transform is used after preprocessing the image and performing a threshold to it.…”

Section: Introductionmentioning

confidence: 99%

Fuzzy Hit-or-Miss Transform Using the Fuzzy Mathematical Morphology Based on T-norms

González-Hidalgo

Massanet

Mir

et al. 2013

Aggregation Functions in Theory and in Practise

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Abstract. The extension of the Hit-or-Miss transform (HMT) to grey-level images is difficult due to the problem of defining the complement of an image in this context. Thus, several extensions have been proposed in the literature avoiding the use of the complement. However, in the fuzzy framework, the complement is well-established by means of a fuzzy negation and the binary HMT can be extended preserving its geometrical interpretation. In this paper, we extend the binary HMT to a fuzzy HMT (FHMT) using the mathematical morphology based on t-norms. Some properties of this operator are studied and some initial experimental results are presented proving the potential of the FHMT in shape recognition and pattern matching.

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Context-supported vehicle detection in optical satellite images of urban areas

Hinz¹,

Leitloff²,

Stilla³

Proceedings. 2005 IEEE International Geoscience and Remote Sensing Symposium, 2005. IGARSS '05.

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Due to increasing traffic there is high demand in traffic monitoring of densely populated urban areas. In our approach we focus on the detection of vehicle queues and use a priori information of roads location and direction. In high resolution satellite imagery single vehicles can hardly be separated since they are merged to either dark or bright ribbons. Initial hypotheses for the queues can be extracted as lines in scale space which represent the centres of the queues. We exploit the context information that vehicle queues are composed of repetitive patterns. For discrimination of single vehicles a width function of the queues is calculated in the gradient image and the variations of the width function are analyzed. We show intermediate and final results of processing a panchromatic QuickBird image covering a part of an inner city area. ‡ A preliminary version of this article has been presented at the ISPRS-Workshop on "High Resolution Earth Imaging for Geo-Information", Hanover, 2005.

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Vector-guided vehicle detection from high-resolution satellite imagery

Cited by 7 publications

References 6 publications

The Analysis and Advanced Development of Traffic Flow Information Acquisition Technology in ITS

The Analysis and Advanced Development of Traffic Flow Information Acquisition Technology in ITS

Fuzzy Hit-or-Miss Transform Using the Fuzzy Mathematical Morphology Based on T-norms

Context-supported vehicle detection in optical satellite images of urban areas

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