Spectral and spatial parameterization of multi-date satellite images for change detection of linear features

Gal Avraham; Maxim Shoshany; Nathan S. Netanyahu

Spectral and spatial parameterization of multi-date satellite images for change detection of linear features

Gal Avraham
, Maxim Shoshany
, Nathan S. Netanyahu

Department of Computer Science and Artificial Intelligence

Bar-Ilan University

Research output: Contribution to conference › Paper › peer-review

1 Scopus citations

Abstract

A new technique utilizing combination of feature extraction by Change Vector Analysis and analysis of distances between features allows improvement in change detection of linear features as roads and water channels. The technique reduces that way false detection of changes due to image calibration differences, illumination differences and misregistration. The method was applied to areas of steep climatic gradient between Mediterranean and extreme desert regions.

Original language	English
Pages	1848-1850
Number of pages	3
State	Published - 2002
Event	2002 IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2002) - Toronto, Ont., Canada Duration: 24 Jun 2002 → 28 Jun 2002

Conference

Conference	2002 IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2002)
Country/Territory	Canada
City	Toronto, Ont.
Period	24/06/02 → 28/06/02

Cite this

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title = "Spectral and spatial parameterization of multi-date satellite images for change detection of linear features",

abstract = "A new technique utilizing combination of feature extraction by Change Vector Analysis and analysis of distances between features allows improvement in change detection of linear features as roads and water channels. The technique reduces that way false detection of changes due to image calibration differences, illumination differences and misregistration. The method was applied to areas of steep climatic gradient between Mediterranean and extreme desert regions.",

author = "Gal Avraham and Maxim Shoshany and Netanyahu, \{Nathan S.\}",

year = "2002",

language = "אנגלית",

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note = "2002 IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2002) ; Conference date: 24-06-2002 Through 28-06-2002",

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T1 - Spectral and spatial parameterization of multi-date satellite images for change detection of linear features

AU - Avraham, Gal

AU - Shoshany, Maxim

AU - Netanyahu, Nathan S.

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Y1 - 2002

N2 - A new technique utilizing combination of feature extraction by Change Vector Analysis and analysis of distances between features allows improvement in change detection of linear features as roads and water channels. The technique reduces that way false detection of changes due to image calibration differences, illumination differences and misregistration. The method was applied to areas of steep climatic gradient between Mediterranean and extreme desert regions.

AB - A new technique utilizing combination of feature extraction by Change Vector Analysis and analysis of distances between features allows improvement in change detection of linear features as roads and water channels. The technique reduces that way false detection of changes due to image calibration differences, illumination differences and misregistration. The method was applied to areas of steep climatic gradient between Mediterranean and extreme desert regions.

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AN - SCOPUS:0036029926

SP - 1848

EP - 1850

T2 - 2002 IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2002)

Y2 - 24 June 2002 through 28 June 2002

ER -

Spectral and spatial parameterization of multi-date satellite images for change detection of linear features

Abstract

Conference

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