Analyzing spectral characteristics of shadow area from ADS-40 high radiometric resolution aerial images

International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives

Volumn 41, Issue , 2016, Pages 223-227

  Hsieh, Yi Ta ^a   Wu, Shou Tsung ^b   Chen, Chaur Tzuhn ^a   Chen, Jan Chang ^a  

^a NATIONAL PINGTUNG UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Taiwan)

^b SHIH CHIEN UNIVERSITY   (Taiwan)

Author keywords

ADS 40; High radiometric resolution; Shadow; Shadow spectra

Indexed keywords

CLASSIFICATION (OF INFORMATION); DECELERATION; IMAGE RECONSTRUCTION; RADIOMETRY; REMOTE SENSING; SPECTRUM ANALYSIS; VEGETATION;

ADS-40; CLASSIFICATION AND INTERPRETATION; LAND COVER INFORMATIONS; OPTICAL REMOTE SENSING; RADIOMETRIC RESOLUTION; SHADOW; SPECTRAL CHARACTERISTICS; VEGETATION CATEGORIES;

IMAGE ANALYSIS;

EID: 84979499923     PISSN: 16821750     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.5194/isprsarchives-XLI-B7-223-2016     Document Type: Conference Paper

References (20)

1. Adeline, K. R. M., M. Chen, X. Briottet, S. K. Pang, and N. Paparoditis, 2013. Shadow detection in very high spatial resolution aerial images: A comparative study. ISPRS Journal of Photogrammetry and Remote Sensing, 80, pp. 21-38.
2. Chakraborti, S., 2007. Verification of the Rayleigh scattering cross section. American Journal Physiology, 75(9), pp. 824-826.
3. Dare, P.M., 2005. Shadow analysis in high-resolution satellite imagery of urban areas. Photogrammetric Engineering & Remote Sensing 71(2), pp. 169-177.
4. Dorren, L. K. A, B. Maier, and A. C. Seijmonsbergena, 2003. Improved Landsat-based forest mapping in steep mountainous terrain using object-based classification. Forest Ecology and Management, 183(1-3), pp. 31-46.
5. Doxaran, D., J. M. Froidefond, and P. Castaing, 2002. A reflectance band ratio used to estimate suspended matter concentrations in sediment-dominated coastal waters. International Journal of Remote Sensing, 23(23), pp. 5079-5085.
6. Giles, P., 2001. Remote sensing and cast shadows in mountainous terrain. Photogrammetric Engineering & Remote Sensing, 67(7), pp. 833-839.
7. Gu L., Robles-Kelly A., 2014. Shadow modelling based upon Rayleigh scattering and Mie theory. Pattern Recognition Letters, 43, pp. 89-97.
8. Hsieh, Y. T., S. T. Wu, C. S. Liao, Y. G. Yui, J. C. Chen, and Y. L. Chung, 2011. Automatic extraction of shadow and non-shadow landslide area from ADS-40 image by stratified classification methodology. In: Proceedings of the 2011 IEEE International Geoscience and Remote Sensing Symposium (IGARSS). July 24-29, 2011. Vancouver, 2011.
9. Jensen, J.R., 2005. Introductory Digital Image Processing: A Remote Sensing Perspective, 3rd Edition, Upper Saddle River: Prentice-Hall, 526 p.
10. Leblon, B., b. Lisa, and H. Granberg, 1996. Effect of shadowing type on ground-measured visible and near-infrared shadow reflectances. Remote Sensing and Environment, 58, pp. 322-328.
11. Liu, T. S., and H. J. Su, 1978. Studies on the community composition and the environmental factors of the natural foredts of Taiwan Red Pine in the upper Ta-chia valley.(in Chinese). Journal of the Experimental Forest of National Taiwan University, 121, pp.: 207-239.
12. Makarau, A., R. Richter, R. Muller, and P. Reinartz, 2011. Adaptive shadow detection using a blackbody radiator model. IEEE Trans. Geosci. Remote Sensing, 49, pp. 2049-2059.
13. Pateraki, M., and Baltsavias, E., 2003. Analysis and Performance of the Adaptive Multi-image matching Algorithm for Airborne Digital Sensor ADS40. In ASPRS Annual Conference, 5-9 May, Anchorage, AK, USA, (on CD-ROM).
14. Shahtahmassebi, A., N. Yang, K. Wang, N. Moore, and Z. Shen, 2013. Review of shadow detection and de-shadowing methods in remote sensing. Chinese Geographical Science, 23(4), pp. 403-420.
15. Tsai, V. U. D., 2006. A comparative study on shadow compensation of color aerial images in invariant color models. IEEE Transactions on Geoscience and Remote Sensing, 44(6), pp. 1661-1671.
16. Wilson, P.A., 1997. Rule-based classification of water in Landsat MSS images using the variance filter. Photogrammmetric Engineering & Remote Sensing, 63(5), pp. 485-491.
17. Wu, S. T., Y. T. Hsieh, C. T. Chen, and J. C. Chen, 2014. A Comparison of 4 Shadow Compensation Techniques for Land Cover Classification of Shaded Areas from High Radiometric Resolution Aerial Images. Canadian Journal of Remote Sensing, 40(4), pp. 315-326.
18. Yeh, K. S., and Li., M. Y., Wang, Y. H., 2010. Applying digital aerial images in natural hazards mitigation in Taiwan. (in chinese). Journal of Photogrammetry and Remote Sensing, 15(1), pp. 123-140.
19. Yuan, F., 2008. Land-cover change and environmental impact analysis in the Greater Mankato area of Minnesota using remote sensing and GIS modeling. International Journal of Remote Sensing, 29(4), pp. 1169-1184.
20. Zhou, W., G. Huang, A. Troy, and M. L. Cadenasso, 2009. Object-based land cover classification of shaded areas in high spatial resolution imagery of urban areas: A comparison study. Remote Sensing of Environment, 113, pp. 1769-1777.