000			02123nam a22001937a 4500
003			OSt
005			20220107122851.0
008			190628b xxu||||| |||| 00| 0 eng d
040			_cIIITMK
100			_aGayathri Prasad (92317010) _915987
245			_aInformation extraction from high resolution satellite imagery
300			_aMSC GIS 2017-2019
500			_aIn the past years, we have seen the acceleration made by high resolution satellite data in the field of remote sensing. Information associated with these images have greater application. Shadow is one of the information that can be extracted from the high-resolution images. Shadows of ground objects can bring both positive and negative effects on the image interpretation. The effective use of the shadows can bring about a lot of information from a single satellite image. Shadows can be used in the estimation of the height of the casting objects, 3D information of the building, identification of targets etc. Shadow as a noise provides difficulties such as shape distortion, false colour, feature information loss etc. In both, the case the primary step is to detect shadow in the image and then the useful shadows can be used for further information retrieval methods and the shadows that create difficulties can be effectively eliminated from the image. Exploring the significance of high-resolution information of satellite images and associated shadow information in the image to enable man-made infrastructure dimensional characterization, a novel approach to estimate the height of the man-made structures accurately is carried out in this study. I have considered Google Earth satellite images with crisp and precise shadows. Shadow length information from these images are extracted and then by applying the mathematical formulation, the height of man-made structures has been estimated which can be used for certain strategic decision purposes.
502			_bMSC GIS _c2017-2019 _dINT _eRadhakrishnan T
650			_aSATELLITE IMAGE _915988
650			_aREMOTE SENSING _915989
650			_aDIGITAL IMAGE PROCESSING _915990
942			_2ddc _cPR
999			_c6528 _d6528