Integrating remotely sensed images and areal census data for building new models across scales

Keping Chen; Russell Blong

doi:10.1109/IGARSS.2002.1026552

Integrating remotely sensed images and areal census data for building new models across scales

Keping Chen^*, Russell Blong

^*Corresponding author for this work

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

3 Citations (Scopus)

Abstract

From a perspective of multidisciplinary studies, this paper introduces a framework for integrating remotely sensed images and areal census data for building new models across scales. The understanding of spatial scales of both data sources lays a foundation for scaling in attributes. Two specific tasks are reported in the paper. First, a range of statistics based on the sub-images after multiresolution wavelet transforms are calculated. It is found that the change rate of standard deviation over resolutions can indicate the representative scale of salient objects in an image. Second, within the valid scale range, standard deviation calculated at different decomposition levels increases almost linearly. Such a scale-independent statistic could serve a tool for scaling attributes of the ground objects for the area of an entire image or its sub-zones.

Original language	English
Title of host publication	International Geoscience and Remote Sensing Symposium (IGARSS)
Place of Publication	Piscataway, USA
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Pages	2385-2387
Number of pages	3
Volume	4
ISBN (Print)	078037536X
DOIs	https://doi.org/10.1109/IGARSS.2002.1026552
Publication status	Published - 2002
Event	2002 IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2002) - Toronto, Ont., Canada Duration: 24 Jun 2002 → 28 Jun 2002

Other

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

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10.1109/IGARSS.2002.1026552

Cite this

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title = "Integrating remotely sensed images and areal census data for building new models across scales",

abstract = "From a perspective of multidisciplinary studies, this paper introduces a framework for integrating remotely sensed images and areal census data for building new models across scales. The understanding of spatial scales of both data sources lays a foundation for scaling in attributes. Two specific tasks are reported in the paper. First, a range of statistics based on the sub-images after multiresolution wavelet transforms are calculated. It is found that the change rate of standard deviation over resolutions can indicate the representative scale of salient objects in an image. Second, within the valid scale range, standard deviation calculated at different decomposition levels increases almost linearly. Such a scale-independent statistic could serve a tool for scaling attributes of the ground objects for the area of an entire image or its sub-zones.",

author = "Keping Chen and Russell Blong",

year = "2002",

doi = "10.1109/IGARSS.2002.1026552",

language = "English",

isbn = "078037536X",

volume = "4",

pages = "2385--2387",

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

publisher = "Institute of Electrical and Electronics Engineers (IEEE)",

address = "United States",

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

}

Chen, K & Blong, R 2002, Integrating remotely sensed images and areal census data for building new models across scales. in International Geoscience and Remote Sensing Symposium (IGARSS). vol. 4, Institute of Electrical and Electronics Engineers (IEEE), Piscataway, USA, pp. 2385-2387, 2002 IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2002), Toronto, Ont., Canada, 24/06/02. https://doi.org/10.1109/IGARSS.2002.1026552

Integrating remotely sensed images and areal census data for building new models across scales. / Chen, Keping; Blong, Russell.
International Geoscience and Remote Sensing Symposium (IGARSS). Vol. 4 Piscataway, USA: Institute of Electrical and Electronics Engineers (IEEE), 2002. p. 2385-2387.

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

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T1 - Integrating remotely sensed images and areal census data for building new models across scales

AU - Chen, Keping

AU - Blong, Russell

PY - 2002

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N2 - From a perspective of multidisciplinary studies, this paper introduces a framework for integrating remotely sensed images and areal census data for building new models across scales. The understanding of spatial scales of both data sources lays a foundation for scaling in attributes. Two specific tasks are reported in the paper. First, a range of statistics based on the sub-images after multiresolution wavelet transforms are calculated. It is found that the change rate of standard deviation over resolutions can indicate the representative scale of salient objects in an image. Second, within the valid scale range, standard deviation calculated at different decomposition levels increases almost linearly. Such a scale-independent statistic could serve a tool for scaling attributes of the ground objects for the area of an entire image or its sub-zones.

AB - From a perspective of multidisciplinary studies, this paper introduces a framework for integrating remotely sensed images and areal census data for building new models across scales. The understanding of spatial scales of both data sources lays a foundation for scaling in attributes. Two specific tasks are reported in the paper. First, a range of statistics based on the sub-images after multiresolution wavelet transforms are calculated. It is found that the change rate of standard deviation over resolutions can indicate the representative scale of salient objects in an image. Second, within the valid scale range, standard deviation calculated at different decomposition levels increases almost linearly. Such a scale-independent statistic could serve a tool for scaling attributes of the ground objects for the area of an entire image or its sub-zones.

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DO - 10.1109/IGARSS.2002.1026552

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AN - SCOPUS:0036398944

SN - 078037536X

VL - 4

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EP - 2387

BT - International Geoscience and Remote Sensing Symposium (IGARSS)

PB - Institute of Electrical and Electronics Engineers (IEEE)

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

Y2 - 24 June 2002 through 28 June 2002

ER -

Integrating remotely sensed images and areal census data for building new models across scales

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