Works (29)

2017 chapter

Processing and Applications of Remotely Sensed Data

In HANDBOOK OF SATELLITE APPLICATIONS,2ND EDITION (pp. 1017–1046).

By: S. Khorram, S. Nelson, C. Wiele & H. Cakir

Source: NC State University Libraries
Added: December 31, 2018

2014 journal article

Basal area and biomass estimates of loblolly pine stands using L-band UAVSAR

Photogrammetric Engineering and Remote Sensing, 80(1), 33–42.

By: W. Marks, J. Iiames, R. Lunetta, S. Khorram & T. Mace

Source: NC State University Libraries
Added: August 6, 2018

2010 journal article

Global registration of overlapping images using accumulative image features

Pattern Recognition Letters, 31(2), 112–118.

By: K. Krish, S. Heinrich, W. Snyder, H. Cakir & S. Khorram

Source: NC State University Libraries
Added: August 6, 2018

2010 journal article

High-resolution land cover change detection based on fuzzy uncertainty analysis and change reasoning

International Journal of Remote Sensing, 31(2), 455–475.

By: D. Hester, S. Nelson, H. Cakir, S. Khorram & H. Cheshire

Source: NC State University Libraries
Added: August 6, 2018

2009 journal article

An automated artificial neural network system for land use/land cover classification from Landsat TM imagery

Journal of Remote Sensing, 1(3), 243–265.

By: H. Yuan, C. Van Der Wiele & S. Khorram

Source: NC State University Libraries
Added: August 6, 2018

2008 journal article

Per-pixel classification of high spatial resolution satellite imagery for urban land-cover mapping

Photogrammetric Engineering and Remote Sensing, 74(4), 463–471.

By: D. Hester, H. Cakir, S. Nelson & S. Khorram

Source: NC State University Libraries
Added: August 6, 2018

2008 journal article

Pixel level fusion of panchromatic and multispectral images based on correspondence analysis

Photogrammetric Engineering and Remote Sensing, 74(2), 183–192.

By: H. Cakir & S. Khorrarn

Source: NC State University Libraries
Added: August 6, 2018

2006 journal article

Correspondence analysis for detecting land cover change

Remote Sensing of Environment, 102(3-4), 306–317.

By: H. Cakir, S. Khorram & S. Nelson

Source: NC State University Libraries
Added: August 6, 2018

2006 report

Integration of high resolution imagery in cost-effective assessment of land use practices influencing erosion and sediment yield

In Water Resource Research Institute final report (Center for Earth Observation Technical Report) (Vol. 221).

By: D. Hester, H. Cakir, S. Nelson & S. Khorram

Source: NC State University Libraries
Added: August 6, 2018

2006 journal article

Regional scale land cover characterization using MODIS-NDVI 250 m multi-temporal imagery: A phenology-based approach

GIScience & Remote Sensing, 43(1), 1–23.

By: J. Knight, R. Lunetta, J. Ediriwickrema & S. Khorrarn

Source: NC State University Libraries
Added: August 6, 2018

2005 report

Integration of high resolution imagery in cost-effective assessment of land use practices influencing erosion and sediment yield

In Water Resource Research Institute final report (Center for Earth Observation Technical Report) (Vol. 221).

By: S. Khorram, S. Nelson, H. Cakir & D. Hester

Source: NC State University Libraries
Added: August 6, 2018

2000 journal article

Accuracy assessment curves for satellite-based change detection

Photogrammetric Engineering and Remote Sensing, 66(7), 875–880.

By: J. Morisette & S. Khorram

Source: NC State University Libraries
Added: August 6, 2018

1999 journal article

A feature-based image registration algorithm using improved chain-code representation combined with invariant moments

IEEE Transactions on Geoscience and Remote Sensing, 37(5), 2351–2362.

By: X. Dai & S. Khorram

Source: NC State University Libraries
Added: August 6, 2018

1999 journal article

Data fusion using artificial neural networks: A case study on multitemporal image analysis

Computers, Environment and Urban Systems, 23(2), 19–31.

By: X. Dai & S. Khorram

Source: NC State University Libraries
Added: August 6, 2018

1999 journal article

Land-cover change detection enhanced with generalized linear models

International Journal of Remote Sensing, 20(14), 2703–2721.

By: J. Morisette, S. Khorram & T. Mace

Source: NC State University Libraries
Added: August 6, 2018

1999 journal article

Remotely sensed change detection based on artificial neural networks

Photogrammetric Engineering and Remote Sensing, 65(3), 1187–1194.

By: X. Dai & S. Khorram

Source: NC State University Libraries
Added: August 6, 2018

1999 journal article

Roadway feature extraction and delineation fron high-resolution satellite imagery

EOM, (1999 May), 34–37.

By: X. Dai, H. Karimi, S. Khorram, A. Khattak & J. Hummer

Source: NC State University Libraries
Added: August 6, 2018

1999 journal article

Techniques for automated extraction of roadway inventory features from high-resolution satellite imagery

Geocarto International, 14(2), 5–16.

By: H. Karimi, X. Dai, A. Khattak, S. Khorram & J. Hummer

Source: NC State University Libraries
Added: August 6, 2018

1998 journal article

A hierarchical methodology framework for multisource data fusion in vegetation classification

International Journal of Remote Sensing, 19(18), 3697–3701.

By: X. Dai & S. Khorram

Source: NC State University Libraries
Added: August 6, 2018

1998 journal article

Exact binomial confidence interval for proportions

Photogrammetric Engineering and Remote Sensing, 64(4), 281–283.

By: J. Morisette & S. Khorram

Source: NC State University Libraries
Added: August 6, 2018

1998 journal article

The effects of image misregistration on the accuracy of remotely sensed change detection

IEEE Transactions on Geoscience and Remote Sensing, 36(5), 1566–1577.

By: X. Dai & S. Khorram

Source: NC State University Libraries
Added: August 6, 2018

1997 journal article

Hierarchical maximum-likelihood classification for improved accuracies

IEEE Transactions on Geoscience and Remote Sensing, 35(4), 810–816.

By: J. Ediriwickrema & S. Khorram

Source: NC State University Libraries
Added: August 6, 2018

1991 journal article

Forest decline model development with LANDSAT-TM, SPOT, DEM DATA

IEEE Transactions on Geoscience and Remote Sensing, 29, 459–466.

By: J. Brockhaus, M. Campbell, S. Khorram, R. Bruck & C. Stallings

Source: NC State University Libraries
Added: August 6, 2018

1990 journal article

Modeling and multi-temporal evaluation of forest decline with Landsat TM digital data

IEEE Transactions on Geoscience and Remote Sensing, 28, 146–151.

By: S. Khorram, J. Brockhaus, R. Bruck & M. Campbell

Source: NC State University Libraries
Added: August 6, 2018

1989 journal article

Analysis of forest decline in the Southern Appalachian Mountains.

Proceedings of the American Society of Photogrammetry and Remote Sensing, 41, 419–429.

By: J. Brockhaus, M. Campbell, R. Bruck & S. Khorram

Source: NC State University Libraries
Added: August 6, 2018

1989 journal article

Multi-temporal modeling of forest decline from Landsat TM digital data

Proceedings of the International Society of Remote Sensing, 37, 771–779.

By: S. Khorram, J. Brockhaus, R. Bruck & M. Campbell

Source: NC State University Libraries
Added: August 6, 2018

1989 conference paper

Observations of forest decline in the boreal montane ecosystems of Mt. Mitchell, N.C.

Proceedings of the U.S.-F.R.G. Symposium on Forest Decline, Burlington, VT, Oct. 19-24, 1987 (USDA Forest Service Technical publication #120), 97–107. USDA Forest Service.

By: R. Bruck, R. Bradow, J. Brockhaus, B. Cure, S. Khorram, A. McDaniel, S. Modena, W. Robarge, P. Smithson

Source: NC State University Libraries
Added: August 6, 2018

1989 journal article

The effect of field plot location errors within TM data on forest decline model development

Proceedings of the American Society of Photogrammetry and Remote Sensing, 41, 430–437.

By: M. Campbell, J. Brockhaus, R. Bruck & S. Khorram

Source: NC State University Libraries
Added: August 6, 2018

1988 book

Comparison of Landsat MSS and TM data for urban land use classification

In Comparison of Landsat MSS and TM data for urban land use classification (p. 23). Raleigh, N.C.: NCSU School of Forest Resources.

By: S. Khorram, J. Brockhaus & H. Cheshire

Source: NC State University Libraries
Added: August 6, 2018