Information extraction from high resolution satellite imagery
Gayathri Prasad (92317010)
Information extraction from high resolution satellite imagery - MSC GIS 2017-2019
In 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.
SATELLITE IMAGE
REMOTE SENSING
DIGITAL IMAGE PROCESSING
Information extraction from high resolution satellite imagery - MSC GIS 2017-2019
In 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.
SATELLITE IMAGE
REMOTE SENSING
DIGITAL IMAGE PROCESSING