Change detection of small objects and linear features in multi-temporal polarimetric images

Wolfgang Dierking; Jesper Schou; Henning Skriver

doi:10.1109/IGARSS.2000.857315

Change detection of small objects and linear features in multi-temporal polarimetric images

Wolfgang Dierking, Jesper Schou, Henning Skriver

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

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Abstract

A SAR image sequence acquired over several months was used to study temporal variations of radar signatures of object classes which are relevant for updating topographic maps. For the selected object classes (buildings, roads, and hedgerows), the average pixel-to-pixel intensity variations are relatively stable over time intervals between data acquisitions from one month to one year. The threshold to be set in order to distinguish relevant changes from inherent signature variations decreases considerably, if signature mean values of individual objects are compared to each other rather than the signature values of individual pixels.

Original language	English
Title of host publication	Proceedings of the International Geoscience and Remote Sensing Symposium IGARSS 2000
Volume	4
Place of Publication	Honolulu, HI
Publisher	IEEE
Publication date	2000
Pages	1693-1695
ISBN (Print)	0-7803-6359-0
DOIs	https://doi.org/10.1109/IGARSS.2000.857315
Publication status	Published - 2000
Event	IEEE 2000 International Geoscience and Remote Sensing Symposium - Honolulu, United States Duration: 24 Jul 2000 → 28 Jul 2000 http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=6913

Conference

Conference	IEEE 2000 International Geoscience and Remote Sensing Symposium
Country/Territory	United States
City	Honolulu
Period	24/07/2000 → 28/07/2000
Internet address	http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=6913

Bibliographical note

Copyright: 2000 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE

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title = "Change detection of small objects and linear features in multi-temporal polarimetric images",

abstract = "A SAR image sequence acquired over several months was used to study temporal variations of radar signatures of object classes which are relevant for updating topographic maps. For the selected object classes (buildings, roads, and hedgerows), the average pixel-to-pixel intensity variations are relatively stable over time intervals between data acquisitions from one month to one year. The threshold to be set in order to distinguish relevant changes from inherent signature variations decreases considerably, if signature mean values of individual objects are compared to each other rather than the signature values of individual pixels.",

author = "Wolfgang Dierking and Jesper Schou and Henning Skriver",

note = "Copyright: 2000 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE; IEEE 2000 International Geoscience and Remote Sensing Symposium, IGARSS 2000 ; Conference date: 24-07-2000 Through 28-07-2000",

year = "2000",

doi = "10.1109/IGARSS.2000.857315",

language = "English",

isbn = "0-7803-6359-0",

volume = "4",

pages = "1693--1695",

booktitle = "Proceedings of the International Geoscience and Remote Sensing Symposium IGARSS 2000",

publisher = "IEEE",

address = "United States",

url = "http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=6913",

}

Dierking, W, Schou, J & Skriver, H 2000, Change detection of small objects and linear features in multi-temporal polarimetric images. in Proceedings of the International Geoscience and Remote Sensing Symposium IGARSS 2000. vol. 4, IEEE, Honolulu, HI, pp. 1693-1695, IEEE 2000 International Geoscience and Remote Sensing Symposium, Honolulu, Hawaii, United States, 24/07/2000. https://doi.org/10.1109/IGARSS.2000.857315

Change detection of small objects and linear features in multi-temporal polarimetric images. / Dierking, Wolfgang; Schou, Jesper; Skriver, Henning.
Proceedings of the International Geoscience and Remote Sensing Symposium IGARSS 2000. Vol. 4 Honolulu, HI: IEEE, 2000. p. 1693-1695.

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

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T1 - Change detection of small objects and linear features in multi-temporal polarimetric images

AU - Dierking, Wolfgang

AU - Schou, Jesper

AU - Skriver, Henning

N1 - Copyright: 2000 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE

PY - 2000

Y1 - 2000

N2 - A SAR image sequence acquired over several months was used to study temporal variations of radar signatures of object classes which are relevant for updating topographic maps. For the selected object classes (buildings, roads, and hedgerows), the average pixel-to-pixel intensity variations are relatively stable over time intervals between data acquisitions from one month to one year. The threshold to be set in order to distinguish relevant changes from inherent signature variations decreases considerably, if signature mean values of individual objects are compared to each other rather than the signature values of individual pixels.

AB - A SAR image sequence acquired over several months was used to study temporal variations of radar signatures of object classes which are relevant for updating topographic maps. For the selected object classes (buildings, roads, and hedgerows), the average pixel-to-pixel intensity variations are relatively stable over time intervals between data acquisitions from one month to one year. The threshold to be set in order to distinguish relevant changes from inherent signature variations decreases considerably, if signature mean values of individual objects are compared to each other rather than the signature values of individual pixels.

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DO - 10.1109/IGARSS.2000.857315

M3 - Article in proceedings

SN - 0-7803-6359-0

VL - 4

SP - 1693

EP - 1695

BT - Proceedings of the International Geoscience and Remote Sensing Symposium IGARSS 2000

PB - IEEE

CY - Honolulu, HI

T2 - IEEE 2000 International Geoscience and Remote Sensing Symposium

Y2 - 24 July 2000 through 28 July 2000

ER -

Change detection of small objects and linear features in multi-temporal polarimetric images

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