کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
557363 1451308 2011 14 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Markov-random-field-based super-resolution mapping for identification of urban trees in VHR images
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر سیستم های اطلاعاتی
پیش نمایش صفحه اول مقاله
Markov-random-field-based super-resolution mapping for identification of urban trees in VHR images
چکیده انگلیسی

Identification of tree crowns from remote sensing requires detailed spectral information and submeter spatial resolution imagery. Traditional pixel-based classification techniques do not fully exploit the spatial and spectral characteristics of remote sensing datasets. We propose a contextual and probabilistic method for detection of tree crowns in urban areas using a Markov random field based super resolution mapping (SRM) approach in very high resolution images. Our method defines an objective energy function in terms of the conditional probabilities of panchromatic and multispectral images and it locally optimizes the labeling of tree crown pixels. Energy and model parameter values are estimated from multiple implementations of SRM in tuning areas and the method is applied in QuickBird images to produce a 0.6 m tree crown map in a city of The Netherlands. The SRM output shows an identification rate of 66% and commission and omission errors in small trees and shrub areas. The method outperforms tree crown identification results obtained with maximum likelihood, support vector machines and SRM at nominal resolution (2.4 m) approaches.


► We propose contextual and probabilistic urban tree detection using MRF based SRM.
► The conditional probability is modeled with panchromatic and multispectral VHR images.
► The prior probability is modeled with a spatial smoothness energy term.
► SRM outperforms other classifiers in a residential area using QuickBird images.
► Panchromatic information improves accuracy of tree crown detection.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: ISPRS Journal of Photogrammetry and Remote Sensing - Volume 66, Issue 6, November 2011, Pages 762–775
نویسندگان
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