James C. Tilton - researchr alias

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Viewing Publication 1 - 46 from 46

2019

On-Orbit Measurement of the Effective Focal Length and Band-to-Band Registration of Satellite-Borne Whiskbroom Imaging SensorsJames C. Tilton, Robert E. Wolfe, Guoqing Lin, John J. Dellomo. staeors, 12(11):4622-4633, 2019. [doi]

2018

JPSS-1/NOAA-20 VIIRS early on-orbit geometric performanceGuoqing Lin, Robert E. Wolfe, James C. Tilton, Ping Zhang 0011, John J. Dellomo, Bin Tan. eos 2018: [doi]

2017

On-orbit measurement of the focal length of the SNPP VIIRS instrumentJames C. Tilton, Robert E. Wolfe, Guoqing Gary Lin, Zhangshi Albert Yin. igarss 2017: 4056-4059 [doi]

On-Orbit Line Spread Function Estimation of the SNPP VIIRS Imaging System From Lake Pontchartrain Causeway Bridge ImagesJames C. Tilton, Robert E. Wolfe, Guoqing Lin. staeors, 10(11):5056-5072, 2017. [doi]

Measurement of the Band-to-Band Registration of the SNPP VIIRS Imaging System From On-Orbit DataJames C. Tilton, Guoqing Lin, Bin Tan. staeors, 10(3):1056-1067, 2017. [doi]

HOTEX: An approach for global mapping of human built-up and settlement extentPanshi Wang, Chengquan Huang, James C. Tilton, Bin Tan, Eric C. Brown de Colstoun. igarss 2017: 1562-1565 [doi]

Nominal 30-m Cropland Extent Map of Continental Africa by Integrating Pixel-Based and Object-Based Algorithms Using Sentinel-2 and Landsat-8 Data on Google Earth EngineJun Xiong, Prasad S. Thenkabail, James C. Tilton, Murali K. Gumma, Pardharsadhi Teluguntla, Adam Oliphant, Russell G. Congalton, Kamini Yadav, Noel Gorelick. remotesensing, 9(10):1065, 2017. [doi]

2016

Trending of SNPP ephemeris and its implications on VIIRS geometric performanceGuoqing Gary Lin, Robert E. Wolfe, James C. Tilton. eos 2016: [doi]

An Active Learning Framework for Hyperspectral Image Classification Using Hierarchical SegmentationZhou Zhang, Edoardo Pasolli, Melba M. Crawford, James C. Tilton. staeors, 9(2):640-654, 2016. [doi]

2014

A Framework for Land Cover Classification Using Discrete Return LiDAR Data: Adopting Pseudo-Waveform and Hierarchical SegmentationJinha Jung, Edoardo Pasolli, Saurabh Prasad, James C. Tilton, Melba M. Crawford. staeors, 7(2):491-502, 2014. [doi]

Incorporating edge information into best merge region-growing segmentationJames C. Tilton, Edoardo Pasolli. igarss 2014: 4891-4894 [doi]

2013

Advances in Spectral-Spatial Classification of Hyperspectral ImagesMathieu Fauvel, Yuliya Tarabalka, Jon Atli Benediktsson, Jocelyn Chanussot, James C. Tilton. pieee, 101(3):652-675, 2013. [doi]

2012

Improved hierarchical optimization-based classification of hyperspectral images using shape analysisYuliya Tarabalka, James C. Tilton. igarss 2012: 1409-1412 [doi]

Shape-constrained segmentation approach for arctic multiyear sea ice floe analysisYuliya Tarabalka, Ludovic Brucker, Alvaro Ivanoff, James C. Tilton. igarss 2012: 4958-4961 [doi]

A Marker-Based Approach for the Automated Selection of a Single Segmentation From a Hierarchical Set of Image SegmentationsYuliya Tarabalka, James C. Tilton, Jón Atli Benediktsson, Jocelyn Chanussot. staeors, 5(1):262-272, 2012. [doi]

Best Merge Region-Growing Segmentation With Integrated Nonadjacent Region Object AggregationJames C. Tilton, Yuliya Tarabalka, Paul M. Montesano, Emanuel Gofman. tgrs, 50(11):4454-4467, 2012. [doi]

Generating ground reference data for a global impervious surface surveyJames C. Tilton, Eric Brown de Colstoun, Robert E. Wolfe, Bin Tan, Chengquan Huang. igarss 2012: 5993-5996 [doi]

2011

Best merge region growing with integrated probabilistic classification for hyperspectral imageryYuliya Tarabalka, James C. Tilton. igarss 2011: 3724-3727 [doi]

Spectral-spatial classification of hyperspectral images using hierarchical optimizationYuliya Tarabalka, James C. Tilton. whispers 2011: 1-4 [doi]

Marker-based Hierarchical Segmentation and classification approach for hyperspectral imageryYuliya Tarabalka, James C. Tilton, Jon Atli Benediktsson, Jocelyn Chanussot. icassp 2011: 1089-1092 [doi]

2010

2009

Finding Compound Structures in Images using Image Segmentation and Graph-based Knowledge DiscoveryDaniya Zamalieva, Selim Aksoy, James C. Tilton. igarss 2009: 252-255 [doi]

2008

The Integraton of Graph-Based Knowledge Discovery with Image Segmentation Hierarchies for Data Analysis, Data Mining and Knowledge DiscoveryJames C. Tilton, Diane J. Cook, Nikhil S. Ketkar. igarss 2008: 491-494 [doi]

Enhancement of the MODIS Snow and Ice Product Suite Utilizing Image SegmentationJames C. Tilton, Dorothy K. Hall, George A. Riggs. igarss 2008: 1069-1072 [doi]

2007

Foreword to the Special Issue on Pattern Recognition in Remote SensingDavid A. Clausi, Selim Aksoy, James C. Tilton. tgrs, 45(12-1):3855-3856, 2007. [doi]

Multiresolution manifold learning for classification of hyperspectral dataWonkook Kim, Yangchi Chen, Melba M. Crawford, James C. Tilton, Joydeep Ghosh. igarss 2007: 3785-3788 [doi]

2006

Advanced Processing of Hyperspectral ImagesAntonio J. Plaza, Jon Atli Benediktsson, Joseph W. Boardman, J. Brazile, Lorenzo Bruzzone, G. Camps-Vails, Jocelyn Chanussot, Mathieu Fauvel, Paolo Gamba, J. Anthony Gualtieri, James C. Tilton, Giovanna Trianni. igarss 2006: 1974-1978 [doi]

2005

Learning bayesian classifiers for scene classification with a visual grammarSelim Aksoy, Krzysztof Koperski, Carsten Tusk, Giovanni B. Marchisio, James C. Tilton. tgrs, 43(3):581-589, 2005. [doi]

Foreword to the Special Issue on Advances in Techniques for Analysis of Remotely Sensed DataJohn A. Richards, Melba M. Crawford, John P. Kerkes, Sebastiano B. Serpico, James C. Tilton. tgrs, 43(3):411-413, 2005. [doi]

2003

Foreword special issue on analysis of multitemporal remote sensing imagesLorenzo Bruzzone, Paul C. Smits, James C. Tilton. tgrs, 41(11):2419-2422, 2003. [doi]

2002

1999

Model-based vector quantization with application to remotely sensed image dataMareboyana Manohar, James C. Tilton. TIP, 8(1):15-21, 1999. [doi]

1997

Preserving radiometric resolution in remotely sensed data with lossy compressionJames C. Tilton, Mareboyana Manohar. tgrs, 35(5):1171-1176, 1997. [doi]

1996

Progressive vector quantization on a massively parallel SIMD machine with application to multispectral image dataMareboyana Manohar, James C. Tilton. TIP, 5(1):142-147, 1996. [doi]

1995

1993

Classification of multispectral image data by the binary diamond neural network and by nonparametric, pixel-by-pixel methodsYehuda Salu, James C. Tilton. tgrs, 31(3):606-617, 1993. [doi]

1992

Progressive Vector Quantization of Multispectral Image Data Using a Massively Parallel SIMD MachineMareboyana Manohar, James C. Tilton. dcc 1992: 181-190

1991

Compression Experiments with AVHRR DataJames C. Tilton, D. Han, Mareboyana Manohar. dcc 1991: 411-420

1981

Contextual classification of multispectral image dataPhilip H. Swain, Stephen B. Vardeman, James C. Tilton. PR, 13(6):429-441, 1981. [doi]

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Publications by 'James C. Tilton'

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