26 publications with the keyword "remote sensing"


#253: H. Aliakbarpour, K. Palaniappan, and G. Seetharaman

Parallax tolerant aerial image georegistration and efficient camera pose refinement - Without piecewise homographies

IEEE Transactions on Geoscience and Remote Sensing, Volume 55, pgs. 4618-4637, 2017

cameras, image registration, remote sensing, 3d reconstruction, mavmap, parallax-tolerant aerial image georegistration, pix4d, sfm method, structure from motion, visualsfm, camera metadata measurement, camera pose refinement, camera-induce

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#58: S. J. Julier, J. K. Uhlmann, J. Walters, R. Mittu, and K. Palaniappan

The challenge of scalable and distributed fusion of disparate sources of information

SPIE Proc. Multisensor, Multisource Information Fusion: Architectures, Algorithms and Applications, Volume 6242, pgs. Online, 2006

gis, fusion, parallelization, data mining, remote sensing

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#65: M. Klaric, G. Scott, C. Shyu, C. Davis, and K. Palaniappan

A framework for geospatial satellite imagery retrieval systems

IEEE Int. Geoscience and Remote Sensing Symposium, pgs. 2457--2460, 2006

gis, data mining, features, machine learning, visualization, remote sensing, cbir

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#55: C. R. Shyu, G. Scott, M. Klaric, C. H. Davis, and K. Palaniappan

Automatic object extraction from full differential morphological profile in urban imagery for efficient object indexing and retrievals

3rd Int. Symposium on Remote Sensing and Data Fusion Over Urban Areas (URBAN 2005), Volume 36, 2005

gis, data mining, features, machine learning, shape, remote sensing, cbir

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#39: Y. Zhao, X. Zhou, K. Palaniappan, and X. Zhuang

Statistical modeling for improved land cover classification

SPIE Battlespace Digitization and Network-Centric Warfare II, Volume 4741, pgs. 296--304, 2002

gis, classification, segmentation, data mining, machine learning, remote sensing

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#35: L. Zhou, C. Kambhamettu, D. Goldgof, K. Palaniappan, and A. F. Hasler

Tracking non-rigid motion and structure from 2D satellite cloud images without correspondences

IEEE Trans. Pattern Analysis and Machine Intelligence, Volume 23, pgs. 1330--1336, 2001

motion, tracking, parallelization, cloud, remote sensing

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#37: K. Palaniappan and J. Fraser

Multiresolution tiling for interactive viewing of large datasets

17th Int. AMS Conf. on Interactive Information and Processing Systems (IIPS) for Meteorology, Oceanography and Hydrology, pgs. 338--342, 2001

visualization, big data, parallelization, cloud, remote sensing

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#36: K. Palaniappan, A. Hasler, J. Fraser, and M. Manyin

Network-based visualization using the distributed image spreadsheet (DISS)

17th Int. AMS Conf. on Interactive Information and Processing Systems (IIPS) for Meteorology, Oceanography and Hydrology, pgs. 399--403, 2001

visualization, big data, parallelization, cloud, remote sensing

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#38: C. Kambhamettu, K. Palaniappan, and A. Hasler

Hierarchical motion decomposition for cloud-tracking

17th Int. AMS Conf. on Interactive Information and Processing Systems (IIPS) for Meteorology, Oceanography and Hydrology, pgs. 318--323, 2001

motion, tracking, parallelization, cloud, remote sensing

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#33: K. Palaniappan and F. Zhu

Automatic land cover classification using evolutionary algorithms and decision trees

16th IFIP World Computer Congress 2000, Proc. Int. Conf. on Intelligent Information Processing, pgs. 327--332, 2000

gis, classification, segmentation, data mining, machine learning, remote sensing

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#32: K. Palaniappan, F. Zhu, X. Zhuang, Y. Zhao, and A. Blanchard

Enhanced binary tree genetic algorithm for automatic land cover classification

IEEE Int. Geoscience and Remote Sensing Symposium (IGARSS), Volume II, pgs. 688--692, 2000

gis, classification, segmentation, data mining, machine learning, remote sensing

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#30: F. Zhu, Y. Zhao, K. Palaniappan, X. Zhou, and X. Zhuang

Optimal Bayesian classifier for land cover classification using Landsat TM data

IEEE Int. Geoscience and Remote Sensing Symposium (IGARSS), Volume I, pgs. 447--450, 2000

gis, classification, segmentation, data mining, machine learning, remote sensing

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#31: J. Vass, K. Palaniappan, and X. Zhuang

Intelligent satellite-based visual communications over wireless ATM

IEEE Int. Geoscience and Remote Sensing Symposium (IGARSS), Volume II, pgs. 606--608, 2000

image compression, big data, remote sensing

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#21: C. D. Rogers, T. H. Guymer, and K. Palaniappan

Remote Sensing: Earth, Ocean and Atmosphere, Advances in Space Research

Elsevier Science, 1998

gis, visualization, big data, remote sensing

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#24: A. F. Hasler, K. Palaniappan, C. Kambhamettu, P. Black, E. Uhlhorn, and D. Chesters

High resolution windfields within the inner core and eye of a mature tropical cyclone from GOES 1-min images

Bulletin of the American Meteorological Society, Volume 79, pgs. 2483--2496, 1998

motion, parallelization, visualization, cloud, big data, remote sensing

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#20: A. F. Hasler, P. Black, V. M. Karyampudi, M. Jentoft-Nilsen, K. Palaniappan, and D. Chesters

Synthesis of eyewall mesovortex and supercell convective structures in Hurricane Luis with GOES-8/9 stereo, concurrent 1-min GOES-9 and NOAA airborne radar observations

22nd AMS Conf. on Hurricanes and Tropical Meteorology, pgs. 201--202, 1997

motion, parallelization, stereo, cloud, big data, remote sensing

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#15: K. Palaniappan, M. Faisal, C. Kambhamettu, and A. F. Hasler

Implementation of an automatic semi-fluid motion analysis algorithm on a massively parallel computer

10th IEEE Int. Parallel Processing Symp., pgs. 864--872, 1996

motion, parallelization, stereo, cloud, big data, remote sensing

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#16: A. F. Hasler, D. Chesters, M. Jentoft-Nilsen, and K. Palaniappan

High performance animation of GOES weather images

SPIE Proc. on GOES-8 and Beyond, Volume 2812, pgs. 80--83, 1996

visualization, parallelization, stereo, cloud, big data, remote sensing

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#19: C. Kambhamettu, K. Palaniappan, and A. F. Hasler

Automated cloud-drift winds from GOES images

SPIE Proc. on GOES-8 and Beyond, Volume 2812, pgs. 122--133, 1996

motion, visualization, parallelization, stereo, cloud, big data, remote sensing

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#18: M. Jentoft-Nilsen, K. Palaniappan, A. F. Hasler, and D. Chesters

Enhancement and quality control of GOES images

SPIE Proc. on GOES-8 and Beyond, Volume 2812, pgs. 133--145, 1996

motion, image enhancement, visualization, cloud, big data, remote sensing

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#14: C. Kambhamettu, K. Palaniappan, and A. F. Hasler

Coupled, multi-resolution stereo and motion analysis

IEEE Int. Symp. Computer Vision, pgs. 43--48, 1995

motion, visualization, parallelization, stereo, cloud, big data, remote sensing

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#10: K. Palaniappan, C. Kambhamettu, A. F. Hasler, and D. B. Goldgof

Structure and semi-fluid motion analysis of stereoscopic satellite images for cloud tracking

Proc. 5th IEEE Int. Conf. Computer Vision, pgs. 659--665, 1995

motion, tracking, stereo, visualization, cloud, remote sensing

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#11: K. Palaniappan, Y. Huang, X. Zhuang, and A. F. Hasler

Robust stereo analysis

IEEE Int. Symp. Computer Vision, pgs. 175--181, 1995

stereo, image analysis, remote sensing

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#9: A. F. Hasler, K. Palaniappan, M. Manyin, and J. Dodge

A high performance interactive image spreadsheet (IISS)

Computers in Physics, Volume 8, pgs. 325--342, 1994

visualization, parallelization, image analysis, remote sensing

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#8: K. Palaniappan, A. Hasler, and M. Manyin

Exploratory analysis of satellite data using the Interactive Image Spreadsheet (IISS) environment

9th Int. AMS Conf. on Interactive Information and Processing Systems (IIPS) for Meteorology, Oceanography and Hydrology, pgs. 145--152, 1993

visualization, parallelization, image analysis, remote sensing

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#7: A. Hasler, K. Palaniappan, and D. Chesters

Visualization of multispectral and multisource data using an interactive image spreadsheet (IISS)

8th Int. AMS Conf. on Interactive Information and Processing Systems (IIPS) for Meteorology, Oceanography and Hydrology, pgs. 85--92, 1992

visualization, parallelization, image analysis, remote sensing

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