IEEE Geoscience and Remote Sensing Magazine - March 2021 - 254

[218]	M.-J. Huang, S.-W. Shyue, L.-H. Lee, and C-C. Kao " A knowledge-based approach to urban feature classification using
aerial imagery with lidar data, " Photogramm. Eng. Remote
Sens. vol. 74, no. 12, pp. 1473-1485, 2008. doi: 10.14358/
PERS.74.12.1473.
[219]	N. Q. Minh and L. P. Hien, " Land cover classification using
LiDAR intensity data and neural network, " J. Korean Soc. Surv.,
Geodesy, Photogramm., Cartogr., vol. 29, no. 4, pp. 429-438,
2011. doi: 10.7848/ksgpc.2011.29.4.429.
[220]	J. Niemeyer, J. D. Wegner, C. Mallet, F. Rottensteiner, and
U. Soergel, " Conditional random fields for urban scene classification with full waveform LiDAR data, " in Proc. Photogramm. Image Anal. - ISPRS Conf., 2011. doi: 10.1007/978-3642-24393-6_20.
[221]	F. Samadzadegan, B. Bigdeli, and P. Ramzi, " A multiple classifier system for classification of LIDAR remote sensing data using multi-class SVM, " in Multiple Classifier Systems, Proceedings,
Lecture Notes in Computer Science, N. El Gayar, J. Kittler, and F.
Roli, Eds. Berlin: Springer-Verlag, 2010, pp. 254-263.
[222]	H. Wei, and Bartels, " Unsupervised segmentation using gabor wavelets and statistical features in LIDAR data analysis, "
in Proc. 18th Int. Conf. Pattern Recognit. (ICPR'06), Hongkong,
China, 2006, pp. 667-670. doi: 10.1109/ICPR.2006.1145.
[223]	S. Xu, S. Xu, N. Ye, and F. Zhu, " Automatic extraction of street
trees' nonphotosynthetic components from MLS data, " Int. J.
Appl. Earth Observ. Geoinf., vol. 69, pp. 64-77, July 2018. doi:
10.1016/j.jag.2018.02.016.
[224]	M. Alonzo, B. Bookhagen, and D. A. Roberts, " Urban tree
species mapping using hyperspectral and lidar data fusion, "
Remote Sens. Environ., vol. 148, pp. 70-83, May 2014. doi:
10.1016/j.rse.2014.03.018.
[225]	A. Borcs and C. Benedek, " Extraction of vehicle groups in airborne lidar point clouds with two-level point processes, " IEEE
Trans. Geosci. Remote Sens., vol. 53, no. 3, pp. 1475-1489, 2015.
doi: 10.1109/TGRS.2014.2344438.
[226]	T. Sasaki, J. Imanishi, K. Ioki, Y. Morimoto, and K. Kitada,
" Object-based classification of land cover and tree species by
integrating airborne LiDAR and high spatial resolution imagery data, " Landscape Ecol. Eng., vol. 8, no. 2, pp. 157-171, 2012.
doi: 10.1007/s11355-011-0158-z.
[227]	B. Höfle, M. Hollaus, and J. Hagenauer, " Urban vegetation
detection using radiometrically calibrated small-footprint
full-waveform airborne LiDAR data, " ISPRS J. Photogramm.
Remote Sens., vol. 67, pp. 134-147, Jan. 2012. doi: 10.1016/j.isprsjprs.2011.12.003.
[228]	C. Zhang, Y. Zhou, and F. Qiu, " Individual tree segmentation from LiDAR point clouds for urban forest inventory, " Remote Sens., vol. 7, no. 6, pp. 7892-7913, 2015. doi: 10.3390/
rs70607892.
[229]	X. Hu, Y. Li, J. Shan, J. Zhang, and Y. Zhang, " Road centerline
extraction in complex urban scenes from LiDAR data based on
multiple features, " IEEE Trans. Geosci. Remote Sens., vol. 52, no.
11, pp. 7448-7456, 2014. doi: 10.1109/TGRS.2014.2312793.
[230]	S. W. MacFaden, J. P. M. O'Neil-Dunne, A. R. Royar, J. T. W.
Lu, and A. Rundle, " High-resolution tree canopy mapping for
New York City using LIDAR and object-based image analy-

254

sis, " J. Appl. Remote Sens., vol. 6, no. 1, pp. 063567, 2012. doi:
10.1117/1.JRS.6.063567.
[231]	J. P. M. O'Neil-Dunne, S. W. MacFaden, A. R. Royar, and K. C.
Pelletier, " An object-based system for LiDAR data fusion and
feature extraction, " Geocarto Int., vol. 28, no. 3, pp. 227-242,
2013. doi: 10.1080/10106049.2012.689015.
[232]	M. Soilán, B. Riveiro, J. Martínez-Sánchez, and P. Arias, " Traffic sign detection in MLS acquired point clouds for geometric
and image-based semantic inventory, " ISPRS J. Photogramm.
Remote Sens., vol. 114, pp. 92-101, Apr. 2016. doi: 10.1016/j.isprsjprs.2016.01.019.
[233]	W. Xiao, B. Vallet, K. Schindler, and N. Paparoditis, " Streetside vehicle detection, classification and change detection
using mobile laser scanning data, " ISPRS J. Photogramm. Remote Sens., vol. 114, pp. 166-178, Apr. 2016. doi: 10.1016/j.isprsjprs.2016.02.007.
[234]	W. Zhou, " An object-based approach for urban land cover classification: Integrating LiDAR height and intensity data, " IEEE
Geosci. Remote Sens. Lett., vol. 10, no. 4, pp. 928-931, 2013. doi:
10.1109/LGRS.2013.2251453.
[235]	J. Niemeyer, F. Rottensteiner, and U. Soergel, " Contextual classification of lidar data and building object detection in urban
areas, " ISPRS J. Photogramm.y Remote Sens., vol. 87, pp. 152-165,
Jan. 2014. doi: 10.1016/j.isprsjprs.2013.11.001.
[236]	G. Vosselman, M. Coenen, and F. Rottensteiner, " Contextual
segment-based classification of airborne laser scanner data, "
ISPRS J. Photogramm. Remote Sens., vol. 128, pp. 354-371, June
2017. doi: 10.1016/j.isprsjprs.2017.03.010.
[237]	S. Xu, G. Vosselman, and S. Oude Elberink, " Multiple-entity
based classification of airborne laser scanning data in urban
areas, " ISPRS J. Photogramm. Remote Sens., vol. 88, pp. 1-15, Feb.
2014. doi: 10.1016/j.isprsjprs.2013.11.008.
[238]	Y. Sun, X. Zhang, X. Zhao, and Q. Xin, " Extracting building
boundaries from high resolution optical images and LiDAR
data by integrating the convolutional neural network and the
active contour model, " Remote Sens., vol. 10, no. 9, p. 1459,
2018. doi: 10.3390/rs10091459.
[239]	V. Giannico, R. Lafortezza, R. John, G. Sanesi, L. Pesola, and J.
Chen, " Estimating stand volume and above-ground biomass
of urban forests using LiDAR, " Remote Sens., vol. 8, no. 4, 2016.
doi: 10.3390/rs8040339.
[240]	L. M. Moskal, D. M. Styers, and M. Halabisky, " Monitoring
urban tree cover using object-based image analysis and public
domain remotely sensed data, " Remote Sens., vol. 3, no. 10, pp.
2243-2262, 2011. doi: 10.3390/rs3102243.
[241]	J. J. Richardson, L. M. Moskal, and S.-H. Kim, " Modeling approaches to estimate effective leaf area index from aerial discrete-return LIDAR, " Agric. For. Meteorol., vol. 149, nos. 6-7, pp.
1152-1160, 2009. doi: 10.1016/j.agrformet.2009.02.007.
[242]	J. Susaki, Y. Komiya, and K. Takahashi, " Calculation of enclosure Index for assessing urban landscapes using digital
surface models, " IEEE J. Sel. Topics Appl. Earth Observ. Remote Sens., vol. 7, no. 10, pp. 4038-4045, 2014. doi: 10.1109/
JSTARS.2013.2271380.
[243]	M. Alonzo, B. Bookhagen, J. P. McFadden, A. Sun, and D. A.
Roberts, " Mapping urban forest leaf area index with airborne
IEEE GEOSCIENCE AND REMOTE SENSING MAGAZINE

MARCH 2021
IEEE Geoscience and Remote Sensing Magazine - March 2021

Table of Contents for the Digital Edition of IEEE Geoscience and Remote Sensing Magazine - March 2021
