Information extraction from high resolution satellite imagery (Record no. 6528)

MARC details
000 -LEADER
fixed length control field 02123nam a22001937a 4500
003 - CONTROL NUMBER IDENTIFIER
control field OSt
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20220107122851.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 190628b xxu||||| |||| 00| 0 eng d
040 ## - CATALOGING SOURCE
Transcribing agency IIITMK
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Gayathri Prasad (92317010)
9 (RLIN) 15987
245 ## - TITLE STATEMENT
Title Information extraction from high resolution satellite imagery
300 ## - PHYSICAL DESCRIPTION
Extent MSC GIS 2017-2019
500 ## - GENERAL NOTE
General note In the past years, we have seen the acceleration made by high resolution satellite data in the<br/>field of remote sensing. Information associated with these images have greater application.<br/>Shadow is one of the information that can be extracted from the high-resolution images.<br/>Shadows of ground objects can bring both positive and negative effects on the image<br/>interpretation. The effective use of the shadows can bring about a lot of information from a<br/>single satellite image. Shadows can be used in the estimation of the height of the casting<br/>objects, 3D information of the building, identification of targets etc. Shadow as a noise<br/>provides difficulties such as shape distortion, false colour, feature information loss etc. In<br/>both, the case the primary step is to detect shadow in the image and then the useful shadows<br/>can be used for further information retrieval methods and the shadows that create<br/>difficulties can be effectively eliminated from the image. <br/>Exploring the significance of high-resolution information of satellite images and associated<br/>shadow information in the image to enable man-made infrastructure dimensional<br/>characterization, a novel approach to estimate the height of the man-made structures<br/>accurately is carried out in this study. I have considered Google Earth satellite images with<br/>crisp and precise shadows. Shadow length information from these images are extracted and<br/>then by applying the mathematical formulation, the height of man-made structures has been<br/>estimated which can be used for certain strategic decision purposes. <br/><br/>
502 ## - DISSERTATION NOTE
Degree type MSC GIS
Name of granting institution 2017-2019
Year degree granted INT
-- Radhakrishnan T
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element SATELLITE IMAGE
9 (RLIN) 15988
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element REMOTE SENSING
9 (RLIN) 15989
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element DIGITAL IMAGE PROCESSING
9 (RLIN) 15990
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Dewey Decimal Classification
Koha item type
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Collection code Home library Current library Shelving location Date acquired Total Checkouts Barcode Date last seen Price effective from Koha item type
    Dewey Decimal Classification     Non Fiction IIITM-K Kerala University of Digital Sciences, Innovation and Technology Knowledge Centre   28/06/2019   R-1532 28/06/2019 28/06/2019 Project Reports