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1. Automatic land-water classification using multispectral airborne LiDAR data for near-shore and river environments

Author:
Yan, Wai Yeung,   et al.   ; Shaker, Ahmed; LaRocque, Paul E.;     Show all 3 Authors
Source:
ISPRS journal of photogrammetry and remote sensing 2019 v.152 pp. 94-108
ISSN:
0924-2716
Subject:
aerial photogrammetry; coastal zone management; coasts; data collection; georeferencing; lidar; models; monitoring; remote sensing; rivers; satellites; selection methods; Lake Ontario; Ontario
Abstract:
... Rapid mapping of near-shore and coastal regions has become an indispensable task for the local authority to serve the purpose of coastal management and post-disaster monitoring. Aerial photogrammetry and satellite remote sensing have been utilized to fulfill such a task in the last few decades. Airborne LiDAR can further compensate the drawbacks of these image capturing approaches as a result of t ...
DOI:
10.1016/j.isprsjprs.2019.04.005

2. Airborne LiDAR intensity banding: Cause and solution

Author:
Yan, Wai Yeung,   et al.   ; Shaker, Ahmed;     Show all 2 Author
Source:
ISPRS journal of photogrammetry and remote sensing 2018 v.142 pp. 301-310
ISSN:
0924-2716
Subject:
algorithms; data collection; lidar; mathematical models; radiometry
Abstract:
... One of the issues limiting the use of airborne LiDAR intensity data for thematic analysis is the appearance of intensity noise. Although recent development of radiometric correction and normalization techniques can help to reduce the intensity discrepancy occurred within an individual data strip and between overlapping data strips, systematic striping noise found within an individual strip still c ...
DOI:
10.1016/j.isprsjprs.2018.06.013

3. Radiometric normalization of overlapping LiDAR intensity data for reduction of striping noise

Author:
Yan, Wai Yeung,   et al.   ; Shaker, Ahmed;     Show all 2 Author
Source:
International journal of digital earth 2016 v.9 no.7 pp. 649-661
ISSN:
1753-8955
Subject:
data collection; land cover; lidar; radiometry
Abstract:
... Airborne LiDAR data are usually collected with partially overlapping strips in order to serve a seamless and fine resolution mapping purpose. One of the factors limiting the use of intensity data is the presence of striping noise found in the overlapping region. Though recent researches have proposed physical and empirical approaches for intensity data correction, the effect of striping noise has ...
DOI:
10.1080/17538947.2015.1111951

4. Polygon-based image registration: a new approach for geo-referencing historical maps

Author:
Yan, Wai Yeung,   et al.   ; Easa, Said M.; Shaker, Ahmed;     Show all 3 Authors
Source:
Remote sensing letters 2017 v.8 no.7 pp. 703-712
ISSN:
2150-7058
Subject:
georeferencing; least squares; mathematical models; remote sensing; Ontario
Abstract:
... This paper presents a new approach for geo-referencing historical maps using a polygon-based image registration technique. Since most historical maps lack long lasting point features to serve as control primitives for image registration, we explore the use of polygon features as control primitives that can be identified in both the map and the geo-referenced coordinate system based on matching the ...
DOI:
10.1080/2150704X.2017.1317928

5. Urban land cover classification using airborne LiDAR data: A review

Author:
Yan, Wai Yeung,   et al.   ; Shaker, Ahmed; El-Ashmawy, Nagwa;     Show all 3 Authors
Source:
Remote sensing of environment 2015 v.158 pp. 295-310
ISSN:
0034-4257
Subject:
climate; environmental models; geometry; land cover; lidar; monitoring; radiometry; remote sensing; satellites; scientists; socioeconomics; urban areas
Abstract:
... Distribution of land cover has a profound impact on the climate and environment; mapping the land cover patterns from global, regional to local scales are important for scientists and authorities to yield better monitoring of the changing world. Satellite remote sensing has been demonstrated as an efficient tool to monitor the land cover patterns for a large spatial extent. Nevertheless, the deman ...
DOI:
10.1016/j.rse.2014.11.001

6. The use of WorldView-2 satellite imagery to model urban drainage system with low impact development (LID) Techniques

Author:
Yan, Wai Yeung,   et al.   ; Khin, Moh Moh Lin; Shaker, Ahmed; Joksimovic, Darko;     Show all 4 Authors
Source:
Geocarto international 2016 v.31 no.1 pp. 92-108
ISSN:
1752-0762
Subject:
United States Environmental Protection Agency; best management practices; control methods; drainage; drainage systems; hydrologic models; land cover; methodology; ponds; remote sensing; residential areas; runoff; stormwater management; urban areas; California
Abstract:
... Within a wide range of best management practices for stormwater management in urban areas, there has been an increasing interest in source control measures. Source controls such as low-impact development (LID) techniques are potentially attractive as retrofit options for older developed areas that lack available land to implement conventional measures such as stormwater management ponds. Hence, di ...
DOI:
10.1080/10106049.2015.1041561

7. The effects of combining classifiers with the same training statistics using Bayesian decision rules

Author:
Yan, Wai Yeung,   et al.   ; Shaker, Ahmed;     Show all 2 Author
Source:
International journal of remote sensing 2011 v.32 no.13 pp. 3729-3745
ISSN:
0143-1161
Subject:
artificial intelligence; land cover; remote sensing; statistics
Abstract:
... Multiple classifier systems (MCS) are attracting increasing interest in the field of pattern recognition and machine learning. Recently, MCS are also being introduced in the remote sensing field where the importance of classifier diversity for image classification problems has not been examined. In this article, Satellite Pour l'Observation de la Terre (SPOT) IV panchromatic and multispectral sate ...
DOI:
10.1080/01431161003777197

8. Analysis of multi-temporal landsat satellite images for monitoring land surface temperature of municipal solid waste disposal sites

Author:
Yan, Wai Yeung,   et al.   ; Mahendrarajah, Prathees; Shaker, Ahmed; Faisal, Kamil; Luong, Robin; Al-Ahmad, Mohamed;     Show all 6 Authors
Source:
Environmental monitoring and assessment 2014 v.186 no.12 pp. 8161-8173
ISSN:
0167-6369
Subject:
Landsat; air temperature; landfills; monitoring; municipal solid waste; remote sensing; summer; surface temperature; surveys; time series analysis; vegetation; Ontario; United States
Abstract:
... This studypresents a remote sensing application of using time series Landsat satellite images for monitoring the Trail Road and Nepean municipal solid waste (MSW) disposal sites in Ottawa, Ontario, Canada. Currently, the Trail Road landfill is in operation; however, during the 1960s and 1980s, the city relied heavily on the Nepean landfill. More than 400 Landsat satellite images were acquired from ...
DOI:
10.1007/s10661-014-3995-z
PubMed:
25150051

9. Improving classification accuracy of airborne LiDAR intensity data by geometric calibration and radiometric correction

Author:
Yan, Wai Yeung,   et al.   ; Shaker, Ahmed; Habib, Ayman; Kersting, Ana Paula;     Show all 4 Authors
Source:
ISPRS journal of photogrammetry and remote sensing 2012 v.67 pp. 35-44
ISSN:
0924-2716
Subject:
absorption; data collection; databases; energy; equations; flight; land cover; lidar; models; radar; radiometry; remote sensing; topography; urban areas
Abstract:
... Airborne light detection and ranging (LiDAR) systems are used to measure the range (distance from the sensor to the target) and the intensity data (the backscattered energy from the target). LiDAR has been used extensively to model the topography of the Earth surface. Nowadays, LiDAR systems operating in the near-infrared spectral range are also gaining high interest for land cover classification ...
DOI:
10.1016/j.isprsjprs.2011.10.005