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Title: Model for mapping settlements

Abstract

A programmable media includes a graphical processing unit in communication with a memory element. The graphical processing unit is configured to detect one or more settlement regions from a high resolution remote sensed image based on the execution of programming code. The graphical processing unit identifies one or more settlements through the execution of the programming code that executes a multi-instance learning algorithm that models portions of the high resolution remote sensed image. The identification is based on spectral bands transmitted by a satellite and on selected designations of the image patches.

Inventors:
; ;
Issue Date:
Research Org.:
Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1260219
Patent Number(s):
9384397
Application Number:
13/973,573
Assignee:
UT-Battelle, LLC (Oak Ridge, TN)
DOE Contract Number:  
AC05-00OR22725
Resource Type:
Patent
Resource Relation:
Patent File Date: 2013 Aug 22
Country of Publication:
United States
Language:
English
Subject:
99 GENERAL AND MISCELLANEOUS; 97 MATHEMATICS AND COMPUTING

Citation Formats

Vatsavai, Ranga Raju, Graesser, Jordan B., and Bhaduri, Budhendra L. Model for mapping settlements. United States: N. p., 2016. Web.
Vatsavai, Ranga Raju, Graesser, Jordan B., & Bhaduri, Budhendra L. Model for mapping settlements. United States.
Vatsavai, Ranga Raju, Graesser, Jordan B., and Bhaduri, Budhendra L. Tue . "Model for mapping settlements". United States. https://www.osti.gov/servlets/purl/1260219.
@article{osti_1260219,
title = {Model for mapping settlements},
author = {Vatsavai, Ranga Raju and Graesser, Jordan B. and Bhaduri, Budhendra L.},
abstractNote = {A programmable media includes a graphical processing unit in communication with a memory element. The graphical processing unit is configured to detect one or more settlement regions from a high resolution remote sensed image based on the execution of programming code. The graphical processing unit identifies one or more settlements through the execution of the programming code that executes a multi-instance learning algorithm that models portions of the high resolution remote sensed image. The identification is based on spectral bands transmitted by a satellite and on selected designations of the image patches.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Tue Jul 05 00:00:00 EDT 2016},
month = {Tue Jul 05 00:00:00 EDT 2016}
}

Works referenced in this record:

Classification of optical high resolution images in urban environment using spectral and textural information
conference, January 2003


Method for data interchange
patent, October 2012


Processing a satellite image of a region to determine a terrain boundary included therein
patent, July 2014