Daniela I. Moody

发表

Effect of learned dictionary over-completeness on sparse representations

Brendt Wohlberg, Daniela I. Moody, Steven P. Brumby, 2012 .

Crop classification using temporal stacks of multispectral satellite imagery

Michael S. Warren, Daniela I. Moody, Steven P. Brumby, 2017, Defense + Security.

Sparse classification of rf transients using chirplets and learned dictionaries

Daniela I. Moody, Steven P. Brumby, Kary L. Myers, 2011, 2011 Conference Record of the Forty Fifth Asilomar Conference on Signals, Systems and Computers (ASILOMAR).

Undercomplete learned dictionaries for land cover classification in multispectral imagery of Arctic landscapes using CoSA: clustering of sparse approximations

Daniela I. Moody, Steven P. Brumby, Joel C. Rowland, 2013, Defense, Security, and Sensing.

Change detection and classification of land cover in multispectral satellite imagery using clustering of sparse approximations (CoSA) over learned feature dictionaries

Daniela I. Moody, Steven P. Brumby, Joel C. Rowland, 2014, 2014 IEEE Applied Imagery Pattern Recognition Workshop (AIPR).

Automated variability selection in time-domain imaging surveys using sparse representations with learned dictionaries

Daniela I. Moody, Steven P. Brumby, Przemek R. Wozniak, 2015, 2015 IEEE Applied Imagery Pattern Recognition Workshop (AIPR).

Optimizing deep learning model selection for angular feature extraction in satellite imagery

Daniela I. Moody, Poppy Immel, Meera Desai, 2019, Defense + Commercial Sensing.

Adaptive sparse signal processing for discrimination of satellite-based radiofrequency (RF) recordings of lightning events

Daniela I. Moody, David A. Smith, 2015, Commercial + Scientific Sensing and Imaging.

Learning sparse discriminative representations for land cover classification in the Arctic

Daniela I. Moody, Steven P. Brumby, Joel C. Rowland, 2012, Optics & Photonics - Optical Engineering + Applications.

Detection and classification of non-stationary signals using sparse representations in adaptive dictionaries

Daniela I. Moody, 2012 .

Classification of satellite-based radio frequency transient recordings using sparse approximations over learned dictionaries

Daniela I. Moody, David A. Smith, D. Moody, 2014 .

Classification of transient signals using sparse representations over adaptive dictionaries

Daniela I. Moody, Steven P. Brumby, Norma H. Pawley, 2011, Defense + Commercial Sensing.

Land cover classification in multispectral satellite imagery using sparse approximations on learned dictionaries

Daniela I. Moody, Steven P. Brumby, Joel C. Rowland, 2014, Sensing Technologies + Applications.

Land cover classification in fused multisensor multispectral satellite imagery

Michael S. Warren, Daniela I. Moody, Steven P. Brumby, 2016, 2016 IEEE Southwest Symposium on Image Analysis and Interpretation (SSIAI).

Signal classification of satellite-based recordings of radiofrequency (RF) transients using data-adaptive dictionaries

David A. Smith, Daniela I. Moody, Matthew J. Heavner, 2013, 2013 Asilomar Conference on Signals, Systems and Computers.

Automatic detection of pulsed radio frequency (RF) targets using sparse representations in undercomplete learned dictionaries

Daniela I. Moody, Steven P. Brumby, David A. Smith, 2014, Defense + Security Symposium.

Land cover classification in multispectral imagery using clustering of sparse approximations over learned feature dictionaries

Daniela I. Moody, Steven P. Brumby, Joel C. Rowland, 2014 .

Adaptive sparse signal processing of on-orbit lightning data using learned dictionaries

Daniela I. Moody, David M. Suszcynsky, David A. Smith, 2012, Defense, Security, and Sensing.

Leveraging Sentinel-1 time-series data for mapping agricultural land cover and land use in the tropics

Michael S. Warren, Daniela I. Moody, Rick Chartrand, 2017, 2017 9th International Workshop on the Analysis of Multitemporal Remote Sensing Images (MultiTemp).

Unsupervised land cover classification in multispectral imagery with sparse representations on learned dictionaries

Daniela I. Moody, Steven P. Brumby, Joel C. Rowland, 2012, 2012 IEEE Applied Imagery Pattern Recognition Workshop (AIPR).

Adaptive sparse signal processing of satellite-based radio frequency (RF) recordings of lightning events

Daniela I. Moody, David A. Smith, D. Moody, 2014, Sensing Technologies + Applications.

Satellite imagery analysis for automated global food security forecasting

Michael S. Warren, Daniela I. Moody, Steven P. Brumby, 2018, Defense + Security.

Change detection in Arctic satellite imagery using clustering of sparse approximations (CoSA) over learned feature dictionaries

Daniela I. Moody, Joel C. Rowland, Garrett L. Altmann, 2015, Commercial + Scientific Sensing and Imaging.

Optimizing deep learning model selection for angular feature extraction in satellite imagery

Daniela I. Moody, Poppy G. Immel, Meera A. Desai, 2020 .

Building a living atlas of the Earth in the cloud

Michael S. Warren, Daniela I. Moody, Steven P. Brumby, 2016, 2016 50th Asilomar Conference on Signals, Systems and Computers.

Radio frequency (RF) transient classification using sparse representations over learned dictionaries

Daniela I. Moody, Steven P. Brumby, Kary L. Myers, 2011, Optical Engineering + Applications.

A strong ultraviolet pulse from a newborn type Ia supernova

Brian D. Bue, Peter E. Nugent, Yi Cao, 2015, Nature.