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Comparative spatio-spectral heterogeneity analysis using multispectral and hyperspectral airborne images

Geo-Spatial Information Science 2013年第2期16卷 83-90页

作者： QIU Bingwen ZENG Canying CHEN Chongcheng Key Laboratory of Spatial Data Mining&Information Sharing of Ministry of Education Spatial Information Research Centre of Fujian ProvinceFuzhou University 523 Gongye RoadFuzhou 350002China

Knowledge of spatio-spectral heterogeneity within multisensor remote sensing images across visible,near-infrared and short wave infrared spectra is *** now,little comparative research on spatio-spectral heterogeneity has been conducted on real multisensor images,especially on both multispectral and hyperspectral airborne *** this study,four airborne images,Airborne Thematic Mapper,Compact Airborne Spectrographic Imager,Specim AISA Eagle and AISI Hawk hyperspectral airborne images of woodland and heath landscapes at Harwood,UK,were applied to quantify and evaluate the differences in spatial heterogeneity through semivariogram *** revealed that spatial heterogeneity of multisensor airborne images has a close relationship with spatial and spectral resolution and *** the visible,near-infrared spectra and short wave infrared spectra,greater spatial heterogeneity is generally observed from the relatively longer wavelength in short wave infrared *** are dramatic changes across the red and red edge spectra,and the peak value is generally examined in the red middle or red edge wavelength across the visible and near-infrared spectra for vegetation or non-vegetation landscape *** all,for real multisensor airborne images,the change in spatial heterogeneity with spatial resolution will accord with the change of support theory depending on whether dramatic change exists across the corresponding ***,if with close spatial resolution,the spatial heterogeneity of multispectral images might be far from the overall integration of these bands from the hyperspectral images involved.A comparative assessment of spatio-spectral heterogeneity using real hyperspectral and multispectral airborne images provides practical guidance for designing the placement and width of a spectral band for different applications and also makes a contribution to the understanding of how to reconcile spatial patterns generated by m

关键词： variogram modelling spatio-spectral heterogeneity ATM CASI Eagle Hawkairborne imagery multi-sensors

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Quantifying Spatial Heterogeneity of Coniferous Trees in ATM,CASI and Eagle Airborne Images

Quantifying Spatial Heterogeneity of Coniferous Trees in ATM...

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2011 IEEE International Conference on Spatial Data Mining and Geographical Knowledge Services(ICSDM 2011)

作者： Bingwen Qiu~1 Canying Zeng Rong Long Chongcheng Chen Xiaoyang Tu Key Laboratory of Spatial Data Mining & Information Sharing of Ministry of Education Spatial Information Research Centre of Fujian Province Fuzhou University Fuzhou 350002 Fujian China

＜正＞Spatial heterogeneity of airborne remote sensing images is critical for surface character *** purpose of this paper is to quantify and evaluate the spatial variability and characteristic scales of Coniferous trees from multi-sensor airborne images by applying variogram *** Airborne Thematic Mapper（ATM）,Compact Airborne Spectrographic Imager（CASI-2）,Specim AISA Eagle airborne images at Harwood,Northumberland,UK,were utilized,with spatial resolutions of 9m,7.2m and 2.5m *** demonstrate that variogram properties provide a robust assessment of the differences in spatial variability and characteristic scale between multi-sensor airborne *** variability of Coniferous trees in ATM airborne imagery is consistently larger than CASI airborne imagery in blue,green,red and infrared *** spatial variability of Eagle airborne images is strongest in red and near infrared bands but weakest in the blue *** the blue,green,red and near infrared bands utilized,results indicate that the total within-scene variation of multi-sensor airborne images increases with ***,the mean characteristic length scale consistently decreases with the nominal spatial resolution and spectral *** is recommended that applications of one type of tree development observations could take advantage of Eagle images in the near infrared band to gain more within-species information of spatial structure and its *** applications like mapping tree species might exploit ATM images to obtain more information about spatial structure and its variability between different tree species.

关键词： variogram modelling spatial variability ATM CASI Eagle airborne imagery Coniferous trees characteristic scale

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