Works (29)
Updated: July 5th, 2023 16:04
2017 article
Processing and Applications of Remotely Sensed Data
HANDBOOK OF SATELLITE APPLICATIONS,2ND EDITION, pp. 1017–1046.
author keywords: Digital image processing; Supervised classifiers; Unsupervised classifiers; Filtering; Accuracy assessment classification schemes; Geospatial modeling; Image validation; Image visualization; Post-processing; Satellite remote sensing geospatial modeling
TL;DR:
Digital image processing, post-processing, and data integration techniques as applied to airborne and satellite remotely sensed data for the purpose of extracting useful Earth resources information will be discussed in this chapter.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
13. Climate Action
(Web of Science)
15. Life on Land
(Web of Science)
Sources: Web Of Science, 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.
UN Sustainable Development Goal Categories
13. Climate Action
(Web of Science)
15. Life on Land
(Web of Science)
Source: Web Of Science
Added: August 6, 2018
2010 journal article
Global registration of overlapping images using accumulative image features
Pattern Recognition Letters, 31(2), 112–118.
author keywords: Image registration; Feature matching; Accumulator-based methods; Feature correspondence; Evidence accumulation
TL;DR:
A new feature-based image registration technique which registers images by finding rotation- and scale-invariant features and matching them using a novel feature matching algorithm based on an evidence accumulation process reminiscent of the generalized Hough transform is introduced.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
11. Sustainable Cities and Communities
(Web of Science)
Sources: Web Of Science, Crossref
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.
TL;DR:
This work presents an efficient fuzzy framework for transforming map uncertainty into accurate and practical change analysis and creates a continuous representation of change, a product type that retains more information and flexibility than discrete maps of change.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
13. Climate Action
(Web of Science)
15. Life on Land
(Web of Science)
Sources: Web Of Science, Crossref, 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
REMOTE SENSING, 1(3), 243–265.
author keywords: automated artificial neural network; simulated annealing; Kohonen's self-organizing mapping; Landsat TM; land use land cover; image classifiers; image processing; accuracy assessment
TL;DR:
It is concluded that the automated ANN classification system can be utilized for LU/LC applications and will be particularly useful when traditional statistical classification methods are not suitable due to a statistically abnormal distribution of the input data.
(via Semantic Scholar)
www.mdpi.com (publisher PDF)
UN Sustainable Development Goal Categories
13. Climate Action
(Web of Science)
15. Life on Land
(Web of Science; OpenAlex)
Source: Web Of Science
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.
TL;DR:
These findings demonstrate that conventional spectral-based classification methods can be used to generate highly accurate maps of urban landscapes using high spatial resolution imagery.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
11. Sustainable Cities and Communities
(OpenAlex)
13. Climate Action
(Web of Science)
15. Life on Land
(Web of Science)
Sources: Web Of Science, 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.
TL;DR:
A pixel level data fusion approach based on correspondence analysis (CA) is introduced for high spatial and spectral resolution satellite data and provided an excellent spectral accuracy when synthesizing images from multispectral and high spatial resolution panchromatic imagery.
(via Semantic Scholar)
Source: Web Of Science
Added: August 6, 2018
2006 journal article
Correspondence analysis for detecting land cover change
Remote Sensing of Environment, 102(3-4), 306–317.
author keywords: correspondence analysis; LULC change detection; principal component analysis; normalized difference vegetation index
UN Sustainable Development Goal Categories
11. Sustainable Cities and Communities
(OpenAlex)
13. Climate Action
(Web of Science)
15. Life on Land
(Web of Science)
Sources: Web Of Science, NC State University Libraries, Crossref
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).
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.
UN Sustainable Development Goal Categories
13. Climate Action
(Web of Science)
15. Life on Land
(Web of Science)
Source: Web Of Science
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).
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.
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.
author keywords: automated; feature extraction; image matching; image registration; satellite imagery
TL;DR:
A new feature-based approach to automated image-to-image registration that combines an invariant-moment shape descriptor with improved chain-code matching to establish correspondences between the potentially matched regions detected from the two images is presented.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
3. Good Health and Well-being
(Web of Science)
Source: Web Of Science
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.
TL;DR:
A formulation framework for data fusion in land cover characterization and a case study on multitemporal change analysis using artificial neural networks, which finds the neural network-based approach to multitem temporal change analysis to be one of the promising methods.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
15. Life on Land
(OpenAlex)
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.
TL;DR:
This paper explores the use of generalized linear models (GLMs) for enhancing standard methods of satellite-based land-cover change detection using a change detection over two locations in North Carolina, USA, and shows how the models provide a quantitative approach to image-based change detection.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
13. Climate Action
(Web of Science)
15. Life on Land
(Web of Science)
Source: Web Of Science
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.
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.
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.
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.
TL;DR:
This Letter presents a new methodological framework for a hierarchical data fusion system for vegetation classification using multi-sensor and multitemporal remotely sensed imagery that is built upon a hierarchy of vegetation canopy attributes that can be remotely detected by sensors.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
13. Climate Action
(Web of Science)
15. Life on Land
(Web of Science)
Source: Web Of Science
Added: August 6, 2018
1998 journal article
Exact binomial confidence interval for proportions
Photogrammetric Engineering and Remote Sensing, 64(4), 281–283.
Source: NC State University Libraries
Added: August 6, 2018
1998 article
The effects of image misregistration on the accuracy of remotely sensed change detection
Dai, X. L., & Khorram, S. (1998, September). IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, Vol. 36, pp. 1566–1577.
author keywords: accuracy assessment; change detection; false change analysis; image registration; remotely sensed
TL;DR:
The results from false change analysis indicate a substantial degradation in the accuracy of remotely sensed change detection due to misregistration, and it is shown that a registration accuracy of less than one-fifth of a pixel is required to achieve a change detection error ofLess than 10%.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
13. Climate Action
(Web of Science)
15. Life on Land
(Web of Science)
Source: Web Of Science
Added: August 6, 2018
1997 article
Hierarchical maximum-likelihood classification for improved accuracies
Ediriwickrema, J., & Khorram, S. (1997, July). IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, Vol. 35, pp. 810–816.
TL;DR:
This study has explored a hierarchical pixel classification (HPC) method to estimate prior probabilities for the spectral classes from the Landsat thematic mapper (TM) data and spectral signatures and showed increased accuracy over three classification methods.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
13. Climate Action
(Web of Science)
15. Life on Land
(Web of Science)
Source: Web Of Science
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.
Source: NC State University Libraries
Added: August 6, 2018
1990 article
MODELING AND MULTITEMPORAL EVALUATION OF FOREST DECLINE WITH LANDSAT TM DIGITAL DATA
KHORRAM, S., BROCKHAUS, J. A., BRUCK, R. I., & CAMPBELL, M. V. (1990, July). IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, Vol. 28, pp. 746–748.
UN Sustainable Development Goal Categories
13. Climate Action
(Web of Science)
15. Life on Land
(Web of Science)
Source: Web Of Science
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.
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.
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.
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.
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.
Source: NC State University Libraries
Added: August 6, 2018
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