Method of processing an image
Abstract
A non-transitory computer-readable medium encoded with a computer-readable program, which when executed by a processor, will cause a computer to execute a computational method, the computational method including collecting an image data, wherein the collecting the image data comprises collecting a first plurality of RGB images and a second plurality of hyperspectral images. The method further includes orthorectifying the image data to produce an RGB based orthophoto and a partially rectified hyperspectral orthophoto. The method further includes selecting tie features from each of the RGB based orthophoto and the partially rectified hyperspectral orthophoto. Lastly, the method includes registering the features of the partially rectified hyperspectral orthophoto into the tie features of the RGB based orthophoto.
- Inventors:
- Issue Date:
- Research Org.:
- Purdue Univ., West Lafayette, IN (United States)
- Sponsoring Org.:
- USDOE
- OSTI Identifier:
- 1531395
- Patent Number(s):
- 10163194
- Application Number:
- 15/714,481
- Assignee:
- Purdue Research Foundation (West Lafayette, IN)
- Patent Classifications (CPCs):
-
G - PHYSICS G06 - COMPUTING G06T - IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- DOE Contract Number:
- AR0000593
- Resource Type:
- Patent
- Resource Relation:
- Patent File Date: 2017-09-25
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 97 MATHEMATICS AND COMPUTING
Citation Formats
Habib, Ayman F. Method of processing an image. United States: N. p., 2018.
Web.
Habib, Ayman F. Method of processing an image. United States.
Habib, Ayman F. Tue .
"Method of processing an image". United States. https://www.osti.gov/servlets/purl/1531395.
@article{osti_1531395,
title = {Method of processing an image},
author = {Habib, Ayman F.},
abstractNote = {A non-transitory computer-readable medium encoded with a computer-readable program, which when executed by a processor, will cause a computer to execute a computational method, the computational method including collecting an image data, wherein the collecting the image data comprises collecting a first plurality of RGB images and a second plurality of hyperspectral images. The method further includes orthorectifying the image data to produce an RGB based orthophoto and a partially rectified hyperspectral orthophoto. The method further includes selecting tie features from each of the RGB based orthophoto and the partially rectified hyperspectral orthophoto. Lastly, the method includes registering the features of the partially rectified hyperspectral orthophoto into the tie features of the RGB based orthophoto.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2018},
month = {12}
}
Works referenced in this record:
Generating 3D hyperspectral information with lightweight UAV snapshot cameras for vegetation monitoring: From camera calibration to quality assurance
journal, October 2015
- Aasen, Helge; Burkart, Andreas; Bolten, Andreas
- ISPRS Journal of Photogrammetry and Remote Sensing, Vol. 108
Broad area geospatial object detection using autogenerated deep learning models
patent, March 2017
- Estrada, Adam; Jenkins, Andrew; Brock, Benjamin
- US Patent Document 9,589,210
Self-calibrated, remote imaging and data processing system
patent, October 2017
- Smitherman, Chester L.
- US Patent Document 9,797,980
Color balancing for partially overlapping images
patent, February 2013
- Lepikhin, Maksim; Rosenshein, Leon
- US Patent Document 8,374,428
Georegistration of airborne hyperspectral image data
journal, July 2001
- Lee, C.; Bethel, J.
- IEEE Transactions on Geoscience and Remote Sensing, Vol. 39, Issue 7
Low-altitude Terrestrial Spectroscopy from a Pushbroom Sensor: Low-Altitude Terrestrial Spectroscopy
journal, October 2015
- Ramirez-Paredes, Juan-Pablo; Lary, David J.; Gans, Nicholas R.
- Journal of Field Robotics, Vol. 33, Issue 6
A robust multisource image automatic registration system based on the SIFT descriptor
journal, December 2011
- Wang, Li; Niu, Zheng; Wu, Chaoyang
- International Journal of Remote Sensing, Vol. 33, Issue 12
A Fast and Reliable Matching Method for Automated Georeferencing of Remotely-Sensed Imagery
journal, January 2016
- Long, Tengfei; Jiao, Weili; He, Guojin
- Remote Sensing, Vol. 8, Issue 1
A Lightweight Hyperspectral Mapping System and Photogrammetric Processing Chain for Unmanned Aerial Vehicles
journal, November 2014
- Suomalainen, Juha; Anders, Niels; Iqbal, Shahzad
- Remote Sensing, Vol. 6, Issue 11
Apparatuses and Methods for Bio-Sensing Using Unmanned Aerial Vehicles
patent-application, November 2016
- Pluvinage, Vincent
- US Patent Application 15/001112; 20160334276
Radiometric and Geometric Analysis of Hyperspectral Imagery Acquired from an Unmanned Aerial Vehicle
journal, September 2012
- Hruska, Ryan; Mitchell, Jessica; Anderson, Matthew
- Remote Sensing, Vol. 4, Issue 9
Automated Ortho-Rectification of UAV-Based Hyperspectral Data over an Agricultural Field Using Frame RGB Imagery
journal, September 2016
- Habib, Ayman; Han, Youkyung; Xiong, Weifeng
- Remote Sensing, Vol. 8, Issue 10