Change detection and change monitoring of natural and man-made features in multispectral and hyperspectral satellite imagery

Moody, Daniela Irina

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Title: Change detection and change monitoring of natural and man-made features in multispectral and hyperspectral satellite imagery

Abstract

An approach for land cover classification, seasonal and yearly change detection and monitoring, and identification of changes in man-made features may use a clustering of sparse approximations (CoSA) on sparse representations in learned dictionaries. A Hebbian learning rule may be used to build multispectral or hyperspectral, multiresolution dictionaries that are adapted to regional satellite image data. Sparse image representations of pixel patches over the learned dictionaries may be used to perform unsupervised k-means clustering into land cover categories. The clustering process behaves as a classifier in detecting real variability. This approach may combine spectral and spatial textural characteristics to detect geologic, vegetative, hydrologic, and man-made features, as well as changes in these features over time.

Inventors:: Moody, Daniela Irina

Issue Date:: Tue Apr 17 00:00:00 EDT 2018

Research Org.:: Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)

Sponsoring Org.:: USDOE

OSTI Identifier:: 1435634

Patent Number(s):: 9946931

Application Number:: 15/133,387

Assignee:: Los Alamos National Security, LLC (Los Alamos, NM)

DOE Contract Number:: AC52-06NA25396

Resource Type:: Patent

Resource Relation:: Patent File Date: 2016 Apr 20

Country of Publication:: United States

Language:: English

Subject:: 47 OTHER INSTRUMENTATION

Citation Formats


                    Moody, Daniela Irina. Change detection and change monitoring of natural and man-made features in multispectral and hyperspectral satellite imagery.  United States: N. p., 2018. 
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                    Moody, Daniela Irina. Change detection and change monitoring of natural and man-made features in multispectral and hyperspectral satellite imagery.  United States.

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                    Moody, Daniela Irina. Tue .  
        "Change detection and change monitoring of natural and man-made features in multispectral and hyperspectral satellite imagery".  United States.  https://www.osti.gov/servlets/purl/1435634.

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@article{osti_1435634,

  title        = {Change detection and change monitoring of natural and man-made features in multispectral and hyperspectral satellite imagery},

  author       = {Moody, Daniela Irina},

  abstractNote = {An approach for land cover classification, seasonal and yearly change detection and monitoring, and identification of changes in man-made features may use a clustering of sparse approximations (CoSA) on sparse representations in learned dictionaries. A Hebbian learning rule may be used to build multispectral or hyperspectral, multiresolution dictionaries that are adapted to regional satellite image data. Sparse image representations of pixel patches over the learned dictionaries may be used to perform unsupervised k-means clustering into land cover categories. The clustering process behaves as a classifier in detecting real variability. This approach may combine spectral and spatial textural characteristics to detect geologic, vegetative, hydrologic, and man-made features, as well as changes in these features over time.},

  doi          = {},

  journal      = {},
number       = ,

  volume       = ,

  place        = {United States},

  year         = {Tue Apr 17 00:00:00 EDT 2018},

  month        = {Tue Apr 17 00:00:00 EDT 2018}

}

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Title: Change detection and change monitoring of natural and man-made features in multispectral and hyperspectral satellite imagery

Abstract

Citation Formats

High efficiency inorganic nanorod-enhanced photovoltaic devices patent-application, September 2006

Dictionary Learning with Large Step Gradient Descent for Sparse Representations book, January 2012

Optoelectronic devices utilizing materials having enhanced electronic transitions patent-application, December 2007

Alternating Direction Method with Self-Adaptive Penalty Parameters for Monotone Variational Inequalities journal, August 2000

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Deconvolutional networks conference, June 2010

Sparse and shift-Invariant representations of music journal, January 2006

Adaptive deconvolutional networks for mid and high level feature learning conference, November 2011

Photovoltaic devices fabricated from nanostructured template patent-application, May 2005

Multi-Scale Dictionary Learning Using Wavelets journal, September 2011

High efficiency inorganic nanorod-enhanced photovoltaic devices
patent-application, September 2006

Dictionary Learning with Large Step Gradient Descent for Sparse Representations
book, January 2012

Optoelectronic devices utilizing materials having enhanced electronic transitions
patent-application, December 2007

Alternating Direction Method with Self-Adaptive Penalty Parameters for Monotone Variational Inequalities
journal, August 2000

Unsupervised adaptation and classification of multiple classes and sources in blind signal separation
patent, July 2002

Distributed Optimization and Statistical Learning via the Alternating Direction Method of Multipliers
book, January 2011

Integrated circuit implementation of methods and apparatuses for monitoring occupancy of wideband GHz spectrum, and sensing respective frequency components of time-varying signals using sub-nyquist criterion signal sampling
patent, April 2016

A Sherman–Morrison approach to the solution of linear systems
journal, May 2006

Silicon optoelectronic device using silicon nanowire and method for preparing the same
patent-application, November 2005

Thermal interface material and method for manufacturing same
patent-application, June 2006

Systems and methods for classifying objects in digital images captured using mobile devices
patent, April 2016

Process for identifying simple and complex objects from fused images and map data
patent, May 1997

Holographic data storage using oversampling and balanced codewords
patent, June 2011

From Sparse Solutions of Systems of Equations to Sparse Modeling of Signals and Images
journal, February 2009

Nanochannel apparatus and method of fabricating
patent-application, May 2007

Method of synthesizing silicon wires
patent-application, July 2007

Task-Driven Dictionary Learning
journal, April 2012

An Augmented Lagrangian Approach to the Constrained Optimization Formulation of Imaging Inverse Problems
journal, March 2011

Atomic Decomposition by Basis Pursuit
journal, January 1998

A fast proximal method for convolutional sparse coding
conference, August 2013

Systems and methods for resolution-invariant image representation
patent, September 2013

Explicit Shift-Invariant Dictionary Learning
journal, January 2014

Method for recognizing shapes and system implementing said method
patent, April 2014

Updating the Inverse of a Matrix
journal, June 1989

Method of optimal directions for frame design
conference, January 1999

Nanoscale coherent optical components
patent-application, October 2004

Learning mid-level features for recognition
conference, June 2010

On Shift-Invariant Sparse Coding
book, January 2004

Systems and methods for nanowire growth and manufacturing
patent-application, December 2005

Nanowire device and method of fabricating the same
patent-application, February 2007

Method of producing high molecular weight organopolysiloxane, composition comprising the high molecular weight organopolysiloxane, and optical semiconductor device sealed with cured product thereof
patent-application, May 2007

Thermal interface material and method for manufacturing same
patent-application, August 2005

Image compression using learned dictionaries by RLS-DLA and compared with K-SVD
conference, May 2011

Fast Convolutional Sparse Coding
conference, June 2013

Non-local sparse models for image restoration
conference, September 2009

Methods of fabricating nanostructures and nanowires and devices fabricated therefrom
patent-application, November 2002

Method of manufacturing silicon nanowires using porous glass template and device comprising silicon nanowires formed by the same
patent-application, October 2007

Method and apparatus for distributed compressed sensing
patent, September 2007

Unsupervised learning of sparse and shift-invariant decompositions of polyphonic music
conference, January 2004

System and method for audio data compression and decompression using discrete wavelet transform (DWT)
patent, March 2007

Supervised translation-invariant sparse coding
conference, June 2010

Efficient convolutional sparse coding
patent, June 2017

Nanowire light emitting device and method of fabricating the same
patent-application, October 2005

General design algorithm for sparse frame expansions
journal, January 2006

Deconvolutional networks
conference, June 2010

Sparse and shift-Invariant representations of music
journal, January 2006

Adaptive deconvolutional networks for mid and high level feature learning
conference, November 2011

Photovoltaic devices fabricated from nanostructured template
patent-application, May 2005

Multi-Scale Dictionary Learning Using Wavelets
journal, September 2011