Exploiting IKONOS and Hyperion data fusion for automated road extraction

We present here the examples that show how fusing data from hyperspectral sensors with data from high spatial resolution sensors can enhance overall road detection accuracy. The fusion of hyperspectral and high spatial resolution data combines their superior respective spectral and spatial informati...

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Bibliographic Details
Published in:Geocarto international 2010-04, Vol.25 (2), p.123-131
Main Authors: Tiwari, Poonam S., Pande, Hina, Aye, Mya Nan
Format: Article
Language:English
Subjects:
hyperspectral image
image fusion: automatic road extraction
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Summary:We present here the examples that show how fusing data from hyperspectral sensors with data from high spatial resolution sensors can enhance overall road detection accuracy. The fusion of hyperspectral and high spatial resolution data combines their superior respective spectral and spatial information. IKONOS (MSS) and Hyperion images were fused using the principal component analysis (PCA) method. The approach for road extraction integrates multiresolution segmentation and object oriented classification. Road extraction is done from an IKONOS (MSS) image and a Hyperion and IKONOS (MSS) merged image and comparisons are made depending on accuracy and quality measures such as completeness and correctness. This article also emphasises the types of roads which are giving better accuracy of extraction after fusion with hyperspectral image. This can vary because of types of material and condition of roads. The methodology was applied on roads of Dehradun, India.
ISSN:1010-6049
1752-0762
DOI:10.1080/10106040903180485