Abstract
To describe the spatial relationship among the earth objects compactly, in this paper, we raised the concept of histo-variogram based on the analysis of the characteristics of other spatial analyzing methods such as variogram, information entropy. And we also raised a new spatial analysis method of histogram decomposition based on the definition of standing pixel and contour pixel. At the end of this paper, we demonstrated the characteristics of histo-variogram by two experiments, one for spatial analysis, the other for image fusion.
Similar content being viewed by others
References
Li Xiaowen, Wang Jindi, Hu Baoxin et al., On utilization of prior knowledge in inversion of remote sensing model, Science in China, Ser. D, 1998, 41(6): 580–586.
Li Xiaowen, Wang Jindi, Strahler, A. H., Scale effects of Planck law over non-isothermal blackbody surface, Science in China, Ser. E, 1999, 42(6): 652–656.
Li Xiaowen, Wang Jindi, Strahler, A. H., Scale effects and scaling-up by geometric-optical model, Science in China, Ser. E, 2000, 43(supp.): 17–22.
Woodcock, C. E., Jupp, D. L. B., The use of variograms in remote sensing: I. Scene models and simulated images, Remote Sensing of Environment, 1988, 25: 323–348.
Webster, R., Quantitative spatial analysis of soil in the field, Advances in Soil Science, 1985, 3: 1–70.
Warren, B. C., Thomas, A. S., Bradshaw, G. A., Semivariograms of digital imagery for analysis of conifer canopy structure, Remote Sensing of Environment, 1990, 34: 167–178.
Jupp, D. L. B., Strahler, A. H., Woodcock, C. E., Autocorrelation and regularization in digital images: II. Simple image models, IEEE Transactions on Geoscience and Remote Sensing, 1989, 27(3): 247–258.
Li Xiaowen, Strahler, A. H., Geometric-optimal modeling of a conifer forest canopy, IEEE Transactions on Geoscience and Remote Sensing, 1985, GE-23: 705–721.
Woodcock, C. E., Strahler, A. H., Jupp, D. L. B., The use of variograms in remote sensing: II. Real digital images, Remote Sensing of Environment, 1988, 25: 349–379.
Plotnick, R. E., Gardner, R. H., O’Neill, R. V., Lacunarity indices as measures of landscape texture, Landscape Ecology, 1993, 8(3): 201–211.
Zeng, H., Shao, N., Guo, Q. H., A study of landscape heterogeneity for the Changping area in the eastern part of Zhujiang Delta, Acta Geographica Sinica, 1999, 54(3): 255–261.
Mandelbrot, B. B., Fractal Geometry in the Nature (in Chinese), Shanghai: Shanghai Far East Publishing House, 1998.
Zhu Qijiang, Rong Taizong, Sun Rui, A case study on fractal simulation of forest fire spread, Science in China, Ser. E, 2000, 43(supp.): 104–112.
Zhang, X., Drake, N. A., Wainwright, J., Scaling Issues in Environmental Modeling, in Environmental Modeling: Finding Simplicity in Complexity, Chichester: John Wiley & Sons, 2002, (in press).
Lam, N., Description and measurement of Landsat TM images using fractals, Photogrammetric Engineering and Remote Sensing, 1990, 56: 187–195.
Schetselaar, E. M., Fusion by the HIS transform: Should we use cylindrical or spherical coordinates? INT. J. Remote Sensing, 1998, 19(4): 759–765.
Liu, J. G., Moore, J. McM., Pixel block intensity modulation: Adding spatial detail to TM band 6 thermal imagery, INT. J. Remote Sensing, 1998, 19(13): 2477–2491.
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Zhang, H., Jiao, Z., Yang, H. et al. Research on scale effect of histogram. Sci. China Ser. D-Earth Sci. 45, 949–960 (2002). https://doi.org/10.1360/02yd9094
Received:
Issue Date:
DOI: https://doi.org/10.1360/02yd9094