Choice of optimal scale for multi-source remote sensing images

CHEN Chun-lei; WU Gang

doi:10.11833/j.issn.2095-0756.2011.01.027

Volume 28 Issue 1

Feb. 2011

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CHEN Chun-lei, WU Gang. Choice of optimal scale for multi-source remote sensing images[J]. Journal of Zhejiang A&F University, 2011, 28(1): 164-172. doi: 10.11833/j.issn.2095-0756.2011.01.027

Citation:

CHEN Chun-lei, WU Gang. Choice of optimal scale for multi-source remote sensing images[J]. Journal of Zhejiang A&F University, 2011, 28(1): 164-172. doi: 10.11833/j.issn.2095-0756.2011.01.027

Choice of optimal scale for multi-source remote sensing images

doi: 10.11833/j.issn.2095-0756.2011.01.027

1.
School of Information Science & Technology，Beijing Forestry University，Beijing 100083，China

More Information

Corresponding author: WU Gang
Publish Date: 2011-02-20

Abstract

Spatial scaling effects are a universal issue for the remote sensing. The appropriate spatial resolution can reveal the spatial structure of specific objects. Based on the First Law of the Geography，frequently used local variance and variograms methods are adopted in this research. Because of the limitation of conventional methods，the modified scheme is available for reference. With Landsat 7，Spot-5/HRG and QuickBird images in the same region，the two different methods are compared for different landscape patterns. The findings of the experiment indicate that local variance method is suitable for microcosmic field and varigrams method is competent for macroscopic domain. Furthermore，the optimal scales of multi-source images in different circumstances are also obtained. According to the results of the optimal scale，the applicability of different images is discussed.［Ch，4 fig. 4 tab. 19 ref.］
- forest mensuration,
- remote sensing,
- optimal scale,
- Landsat 7,
- Spot-5,
- QuickBird

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通讯作者: 陈斌, bchen63@163.com

1.
沈阳化工大学材料科学与工程学院沈阳 110142

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Choice of optimal scale for multi-source remote sensing images

1. School of Information Science & Technology，Beijing Forestry University，Beijing 100083，China

Corresponding author: WU Gang

Publish Date: 2011-02-20

Key words:

Abstract: Spatial scaling effects are a universal issue for the remote sensing. The appropriate spatial resolution can reveal the spatial structure of specific objects. Based on the First Law of the Geography，frequently used local variance and variograms methods are adopted in this research. Because of the limitation of conventional methods，the modified scheme is available for reference. With Landsat 7，Spot-5/HRG and QuickBird images in the same region，the two different methods are compared for different landscape patterns. The findings of the experiment indicate that local variance method is suitable for microcosmic field and varigrams method is competent for macroscopic domain. Furthermore，the optimal scales of multi-source images in different circumstances are also obtained. According to the results of the optimal scale，the applicability of different images is discussed.［Ch，4 fig. 4 tab. 19 ref.］

Choice of optimal scale for multi-source remote sensing images

doi: 10.11833/j.issn.2095-0756.2011.01.027

Abstract

References

Proportional views

通讯作者: 陈斌, bchen63@163.com

Related

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