Volume XL-8
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-8, 1185-1192, 2014
https://doi.org/10.5194/isprsarchives-XL-8-1185-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-8, 1185-1192, 2014
https://doi.org/10.5194/isprsarchives-XL-8-1185-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.

  28 Nov 2014

28 Nov 2014

Shadow Analysis Technique for Extraction of Building Height using High Resolution Satellite Single Image and Accuracy Assessment

P. L. N. Raju1, H. Chaudhary2, and A. K. Jha1 P. L. N. Raju et al.
  • 1Remote Sensing and Geoinformatics Group, Indian Institute of Remote Sensing, ISRO, Dehradun, India
  • 2G.D. Colony, Mayur Vihar Phase 3, New Delhi, 110096, India

Keywords: High Resolution Satellite Data, Automatic Extraction, Shadow Analysis

Abstract. These High resolution satellite data with metadata information is used to extract the height of the building using shadow. Proposed approach divides into two phases 1) rooftop and shadow extraction and 2) height estimation. Firstly the rooftop and shadow region were extracted by manual/ automatic methods using Example – Based and Rule – Based approaches. After feature extraction next step is estimating height of the building by taking rooftop in association with shadow using Ratio Method and by using the relation between sun-satellite geometry. The performance analysis shows the total mean error of height is 0.67 m from ratio method, 1.51 m from Example – Based Approach and 0.96 m from Rule – Based Approach. Analysis concluded that Ratio Method i.e. manual method is best for height estimation but it is time consuming so the automatic Rule Based approach is best for height estimation in comparison to Example Based Approach because it require more knowledge and selection of more training samples as well as slows the processing rate of the method.