A study on land cover classification based on HJ-1 CCD image

Yuhuan Ren; Yalan Liu; Junchuan Fan; Hua Xu; Ling Yi

doi:10.1109/IGARSS.2009.5417791

A study on land cover classification based on HJ-1 CCD image

Yuhuan Ren, Yalan Liu, Junchuan Fan, Hua Xu, Ling Yi

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

1 Scopus citations

Abstract

Remote sensing technique has become one of the most effective means to acquire land cover information. The CCD cameras onboard the environment and disaster monitoring and forecasting satellite constellation (HJ-1 satellites) are advanced in spatial resolution, image coverage and revisit frequency. Thus, it can be very efficient to do land cover classification using their images. Taking Zhongshan County in Guangxi province as the study area, this paper studies on the best method of land cover classification based on HJ-1 CCD image and other assistant data. In order to test the general applicability of this land cover classification method, this paper also applies the method to another place.

Original language	English
Title of host publication	2009 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2009 - Proceedings
Pages	III408-III411
DOIs	https://doi.org/10.1109/IGARSS.2009.5417791
State	Published - 2009
Externally published	Yes
Event	2009 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2009 - Cape Town, South Africa Duration: Jul 12 2009 → Jul 17 2009

Publication series

Name	International Geoscience and Remote Sensing Symposium (IGARSS)
Volume	3

Conference

Conference	2009 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2009
Country/Territory	South Africa
City	Cape Town
Period	07/12/09 → 07/17/09

Keywords

HJ-1 CCD
Land cover classification
Linear feature
Maximum likelihood
Terrain radiant correction

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1109/IGARSS.2009.5417791

Cite this

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title = "A study on land cover classification based on HJ-1 CCD image",

abstract = "Remote sensing technique has become one of the most effective means to acquire land cover information. The CCD cameras onboard the environment and disaster monitoring and forecasting satellite constellation (HJ-1 satellites) are advanced in spatial resolution, image coverage and revisit frequency. Thus, it can be very efficient to do land cover classification using their images. Taking Zhongshan County in Guangxi province as the study area, this paper studies on the best method of land cover classification based on HJ-1 CCD image and other assistant data. In order to test the general applicability of this land cover classification method, this paper also applies the method to another place.",

keywords = "HJ-1 CCD, Land cover classification, Linear feature, Maximum likelihood, Terrain radiant correction",

author = "Yuhuan Ren and Yalan Liu and Junchuan Fan and Hua Xu and Ling Yi",

year = "2009",

doi = "10.1109/IGARSS.2009.5417791",

language = "English",

isbn = "9781424433957",

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

pages = "III408--III411",

booktitle = "2009 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2009 - Proceedings",

note = "2009 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2009 ; Conference date: 12-07-2009 Through 17-07-2009",

}

Ren, Y, Liu, Y, Fan, J, Xu, H & Yi, L 2009, A study on land cover classification based on HJ-1 CCD image. in 2009 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2009 - Proceedings., 5417791, International Geoscience and Remote Sensing Symposium (IGARSS), vol. 3, pp. III408-III411, 2009 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2009, Cape Town, South Africa, 07/12/09. https://doi.org/10.1109/IGARSS.2009.5417791

A study on land cover classification based on HJ-1 CCD image. / Ren, Yuhuan; Liu, Yalan; Fan, Junchuan et al.
2009 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2009 - Proceedings. 2009. p. III408-III411 5417791 (International Geoscience and Remote Sensing Symposium (IGARSS); Vol. 3).

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

TY - GEN

T1 - A study on land cover classification based on HJ-1 CCD image

AU - Ren, Yuhuan

AU - Liu, Yalan

AU - Fan, Junchuan

AU - Xu, Hua

AU - Yi, Ling

PY - 2009

Y1 - 2009

N2 - Remote sensing technique has become one of the most effective means to acquire land cover information. The CCD cameras onboard the environment and disaster monitoring and forecasting satellite constellation (HJ-1 satellites) are advanced in spatial resolution, image coverage and revisit frequency. Thus, it can be very efficient to do land cover classification using their images. Taking Zhongshan County in Guangxi province as the study area, this paper studies on the best method of land cover classification based on HJ-1 CCD image and other assistant data. In order to test the general applicability of this land cover classification method, this paper also applies the method to another place.

AB - Remote sensing technique has become one of the most effective means to acquire land cover information. The CCD cameras onboard the environment and disaster monitoring and forecasting satellite constellation (HJ-1 satellites) are advanced in spatial resolution, image coverage and revisit frequency. Thus, it can be very efficient to do land cover classification using their images. Taking Zhongshan County in Guangxi province as the study area, this paper studies on the best method of land cover classification based on HJ-1 CCD image and other assistant data. In order to test the general applicability of this land cover classification method, this paper also applies the method to another place.

KW - HJ-1 CCD

KW - Land cover classification

KW - Linear feature

KW - Maximum likelihood

KW - Terrain radiant correction

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DO - 10.1109/IGARSS.2009.5417791

M3 - Conference contribution

AN - SCOPUS:77950945708

SN - 9781424433957

T3 - International Geoscience and Remote Sensing Symposium (IGARSS)

SP - III408-III411

BT - 2009 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2009 - Proceedings

T2 - 2009 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2009

Y2 - 12 July 2009 through 17 July 2009

ER -

A study on land cover classification based on HJ-1 CCD image

Abstract

Publication series

Conference

Keywords

UN SDGs

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