Linear Feature Extraction from High-Resolution SAR Images

Name: Linear Feature Extraction from High-Resolution SAR Images
Brand: Scholars' Press
SKU: 9783639662825
Price: 33480 HUF
Availability: InStock

Szerző: Luca Fabbrini

Nyelv:

Kötés: Puha kötésű

Kiadó: Scholars' Press

Elérhetőség: Beszállítói készleten

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In this book, linear feature extraction issue is firstly tackled by detecting amplitude discontinuit...

Információk a könyvről

Szerző

Luca Fabbrini

Nyelv

Angol

Kötés

Könyv - Puha kötésű

Kiadva

2014

oldal

312

EAN

9783639662825

ISBN

3639662822

Enbook ID

05349594

Kiadó

Scholars' Press

Súly

458

Méretek

152 x 229 x 18

Teljes leírás

In this book, linear feature extraction issue is firstly tackled by detecting amplitude discontinuities (i.e. edges) of the signal. Next, the obtained result is refined by an edge linking stage so that, finally, the boundary of the object of interest is extracted throughout a higher-level model. Initially, the speckle model is exploited for improving edge detection operation. Next, to free the process by statistical assumptions of data, general multiscale linear filtering is investigated. The edge linking stage makes use of the sequential edge linking (SEL) algorithm with two novel metrics useful to cope with the one-look SAR data. The algorithm devised to extract linear features (e.g. roads and runways), relies on the Hough Transform framework and tries reconstructing the object boundaries as composition of linear segments. Finally, to improve edge detection performance and approach a higher level of processing, a novel despeckling algorithm is presented. It belongs to the class of non-linear, anisotropic diffusion filters that apply a partial differential equation (PDE) onto the image in analysis.

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Linear Feature Extraction from High-Resolution SAR Images

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