Concrete and Asphalt Runway Detection in High Resolution Images Using LBP Cascade Classifier

Cruz, Juliano E. C.; Shiguemori, Elcio Hideiti; Guimarães, Lamartine Nogueira Frutuoso

doi:10.1109/brics-cci-cbic.2013.83

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“…But the question remains; can the other recognition methods be used as well? The article follows [30] to report studies on the applicability of LBP cascade, Haar-like cascade, and HOG+SVM for asphalt and concrete runway detection.…”

Section: Related Workmentioning

confidence: 99%

A comparison of Haar-like, LBP and HOG approaches to concrete and asphalt runway detection in high resolution imagery

Cruz¹,

Shiguemori²,

Guimarães

2016

JCIS

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In this article, the three most used object detection approaches, Linear Binary Pattern cascade, Haarlike cascade, and Histogram of Oriented Gradients with Support Vector Machine are applied to automatic runway detection in high resolution satellite imagery and their results are compared. They have been employed predominantly for human feature recognition and this paper tests theirs applicability to runways. The results show that they can be indeed employed for this purpose with LBP and Haar approaches performing better than HOG+SVM.

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Section: Related Workmentioning

confidence: 99%