Using high resolution CIR imagery in the classification of non-cropped areas in agricultural landscapes in the UK
Using high resolution CIR imagery in the classification of non-cropped areas in agricultural landscapes in the UK
复制标题
使用高分辨率 CIR 图像对英国农业景观中的非作物区域进行分类
DOI：
10.1117/12.2028356
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发表时间：
2013
期刊：
影响因子：
--
通讯作者：
O'Connell J
中科院分区：
文献类型：
--
作者：
O'Connell J
With global food demand on course to double in the next 50 years the pressures of agricultural intensification on ecosystem services in highly managed landscapes are increasing. Within an agricultural landscape non-cropped areas are a key component of ecological heterogeneity and the sustainability of ecosystem services. Management of the landscape for both production of food and ecosystem services requires configuring the non-cropped areas in an optimal way, which, in turn requires large scale information on the distribution of non-cropped areas. In this study the Canny edge detection algorithm was used to delineate 93% of all boundaries within 422 ha of agricultural land in south east England. The resulting image was used in conjunction with vegetation indices derived from Color Infra Red (CIR) aerial photography and auxiliary landuse data in an Object Orientated (OO) Knowledge Based Classifier (KBC) to identify non-cropped areas. An overall accuracy of 94.27% (Kappa 0.91) for the KBC compared favorably with 63.04% (Kappa 0.55) for a pixel based hybrid classifier of the same area.
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DOI：
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发表时间：
2012
期刊：
影响因子：
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作者：
P. Scholefield;L. Norton;C. Rowland;D. Morton;P. Henrys
通讯作者：
P. Henrys
影响因子：
5
作者：
Schulp, Catharina J. E.;Alkemade, Rob
通讯作者：
Alkemade, Rob
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DOI：
10.1109/igarss.2008.4779826
发表时间：
2008
期刊：
IGARSS 2008 - 2008 IEEE International Geoscience and Remote Sensing Symposium
影响因子：
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作者：
C. Vannier;L. Hubert‐Moy
通讯作者：
L. Hubert‐Moy
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DOI：
--
发表时间：
2012
期刊：
IEEE International Geoscience and Remote Sensing Symposium
影响因子：
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作者：
M. Fauvel;D. Sheeren;J. Chanussot;J. Benediktsson
通讯作者：
J. Benediktsson