Short temporal change detection in complex urban area

M. Shimoni; Rob Haelterman; Christiaan Perneel

doi:10.1109/IGARSS.2013.6723251

Short temporal change detection in complex urban area

M. Shimoni, Rob Haelterman, Christiaan Perneel

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

Abstract

Thermal hyperspectral imaging (THI) extends the activities of automatic spectral based target detection to the thermal infrared spectral range. This imaging technique which allows the detection of targets regardless of illumination, unfortunately, frequently suffers from high false alarm rates due to the high noise contained in the image. This study develops a new Normalised Difference Thermal Index NDTI_MM which allows the physics -based segmentation of Man-Made objects in the scene. This index produces quick and efficient separation of man-made objects containing silicate minerals from other natural and man-made materials. The change detectors are spatially adapted to segments which present different NDTI_MM ratios. As a result, the scene is enhanced and the performances of change detection methods which are based on NDTI_MM segments distance are significantly improved.

Original language	English
Title of host publication	2013 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2013 - Proceedings
Pages	2196-2199
Number of pages	4
DOIs	https://doi.org/10.1109/IGARSS.2013.6723251
Publication status	Published - 2013
Event	2013 33rd IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2013 - Melbourne, VIC, Australia Duration: 21 Jul 2013 → 26 Jul 2013

Publication series

Name	International Geoscience and Remote Sensing Symposium (IGARSS)

Conference

Conference	2013 33rd IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2013
Country/Territory	Australia
City	Melbourne, VIC
Period	21/07/13 → 26/07/13

Keywords

Thermal hyperspectral
change detection
man-made object
segmentation
target detection

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10.1109/IGARSS.2013.6723251

Cite this

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title = "Short temporal change detection in complex urban area",

abstract = "Thermal hyperspectral imaging (THI) extends the activities of automatic spectral based target detection to the thermal infrared spectral range. This imaging technique which allows the detection of targets regardless of illumination, unfortunately, frequently suffers from high false alarm rates due to the high noise contained in the image. This study develops a new Normalised Difference Thermal Index NDTIMM which allows the physics -based segmentation of Man-Made objects in the scene. This index produces quick and efficient separation of man-made objects containing silicate minerals from other natural and man-made materials. The change detectors are spatially adapted to segments which present different NDTIMM ratios. As a result, the scene is enhanced and the performances of change detection methods which are based on NDTIMM segments distance are significantly improved.",

keywords = "Thermal hyperspectral, change detection, man-made object, segmentation, target detection",

author = "M. Shimoni and Rob Haelterman and Christiaan Perneel",

year = "2013",

doi = "10.1109/IGARSS.2013.6723251",

language = "English",

isbn = "9781479911141",

series = "International Geoscience and Remote Sensing Symposium (IGARSS)",

pages = "2196--2199",

booktitle = "2013 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2013 - Proceedings",

note = "2013 33rd IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2013 ; Conference date: 21-07-2013 Through 26-07-2013",

}

Shimoni, M, Haelterman, R & Perneel, C 2013, Short temporal change detection in complex urban area. in 2013 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2013 - Proceedings., 6723251, International Geoscience and Remote Sensing Symposium (IGARSS), pp. 2196-2199, 2013 33rd IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2013, Melbourne, VIC, Australia, 21/07/13. https://doi.org/10.1109/IGARSS.2013.6723251

Short temporal change detection in complex urban area. / Shimoni, M.; Haelterman, Rob; Perneel, Christiaan.
2013 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2013 - Proceedings. 2013. p. 2196-2199 6723251 (International Geoscience and Remote Sensing Symposium (IGARSS)).

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

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AU - Shimoni, M.

AU - Haelterman, Rob

AU - Perneel, Christiaan

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N2 - Thermal hyperspectral imaging (THI) extends the activities of automatic spectral based target detection to the thermal infrared spectral range. This imaging technique which allows the detection of targets regardless of illumination, unfortunately, frequently suffers from high false alarm rates due to the high noise contained in the image. This study develops a new Normalised Difference Thermal Index NDTIMM which allows the physics -based segmentation of Man-Made objects in the scene. This index produces quick and efficient separation of man-made objects containing silicate minerals from other natural and man-made materials. The change detectors are spatially adapted to segments which present different NDTIMM ratios. As a result, the scene is enhanced and the performances of change detection methods which are based on NDTIMM segments distance are significantly improved.

AB - Thermal hyperspectral imaging (THI) extends the activities of automatic spectral based target detection to the thermal infrared spectral range. This imaging technique which allows the detection of targets regardless of illumination, unfortunately, frequently suffers from high false alarm rates due to the high noise contained in the image. This study develops a new Normalised Difference Thermal Index NDTIMM which allows the physics -based segmentation of Man-Made objects in the scene. This index produces quick and efficient separation of man-made objects containing silicate minerals from other natural and man-made materials. The change detectors are spatially adapted to segments which present different NDTIMM ratios. As a result, the scene is enhanced and the performances of change detection methods which are based on NDTIMM segments distance are significantly improved.

KW - Thermal hyperspectral

KW - change detection

KW - man-made object

KW - segmentation

KW - target detection

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M3 - Conference contribution

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T3 - International Geoscience and Remote Sensing Symposium (IGARSS)

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BT - 2013 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2013 - Proceedings

T2 - 2013 33rd IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2013

Y2 - 21 July 2013 through 26 July 2013

ER -

Short temporal change detection in complex urban area

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Keywords

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