Xiaolong Dai

Works (9)

Updated: July 5th, 2023 16:03

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 n & S. Khorram n

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
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.

By: X. Dai n & S. Khorram n

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

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 n, A. Khattak n, S. Khorram n & J. Hummer n

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*

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

High-resolution satellite imagery aids roadway data collection

Public Works, (1998 Nov.), 28–30.

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

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

1998 journal article

Left-ventricle boundary detection from nuclear medicine images

JOURNAL OF DIGITAL IMAGING, 11(1), 10–20.

By: X. Dai n, W. Snyder n, G. Bilbro n, R. Williams  n & R. Cowan  n

author keywords: cardiac nuclear medicine; ejection fraction; image segmentation; left ventricle; boundary detection; automated
MeSH headings : Heart Ventricles / diagnostic imaging; Humans; Image Processing, Computer-Assisted; Radionuclide Imaging; Stroke Volume; Ventricular Function, Left
TL;DR: A new algorithm for segmentation of nuclear medicine images to detect the left-ventricle (LV) boundary that seems to perform quite well in comparison to other automated methods that have been tested because of its ability to handle the problems of both low signal-to-noise ratios (SNR) as well as low image contrast. (via Semantic Scholar)
UN Sustainable Development Goal Categories
Source: Web Of Science
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.

By: X. Dai n & S. Khorram n

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

1998 journal article

The emergence of high-resolution satellite digital imagery for acquisition roadway inventory features

Space Energy and Transportation, 3(1), 19–26.

By: H. Karimi, X. Dai, A. Khatak & J. Hummer

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

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