442
Views
10
CrossRef citations to date
0
Altmetric
Articles

Object-based fusion for urban tree species classification from hyperspectral, panchromatic and nDSM data

, , , , & ORCID Icon
Pages 5339-5365 | Received 19 Feb 2018, Accepted 28 Nov 2018, Published online: 05 Mar 2019

References

  • Abbasi, B., H. Arefi, B. Bigdeli, M. Motagh, and S. Roessnerb. 2015. “Fusion of Hyperspectral and LiDAR Data Based on Dimension Reduction and Maximum Likelihood.” International Archives of the Photogrammetry, Remote Sensing & Spatial Information Sciences XL-7/W3:569–573.
  • Adeline, K. 2014. “Classification des matériaux urbains en présence de végétation éparse par télédétection hyperspectrale à haute résolution spatiale.” PhD diss., Toulouse, ISAE.
  • Adeline, K., A. Le Bris, F. Coubard, X. Briottet, N. Paparoditis, F. Viallefont, N. Rivière et al. 2013. “Description de la campagne aéroportée UMBRA: étude de l’impact anthropique sur les écosystèmes urbains et naturels avec des images THR multispectrales et hyperspectrales.” Revue française de photogrammétrie et de télédétection 202:79–92.
  • ADEUS. 2014. “Les Lots de fracheur dans La viLLe - ADEUS (Agence de dveloppement et durbanisme de lagglomration strasbourgeoise).” Les Notes De l’ADEUS 140: 140.
  • Alonzo, M., B. Bookhagen, and D. A. Roberts. 2014. “Urban Tree Species Mapping Using Hyperspectral and Lidar Data Fusion.” Remote Sensing of Environment 148: 70–83. doi:10.1016/j.rse.2014.03.018.
  • Alonzo, M., K. Roth, and D. Roberts. 2013. “Identifying Santa Barbara’s Urban Tree Species from AVIRIS Imagery Using Canonical Discriminant Analysis.” Remote Sensing Letters 4 (5): 513–521. doi:10.1080/2150704X.2013.764027.
  • Bailey, S.-A., R. Haines-Young, and C. Watkins. 2002. “Species Presence in Fragmented Landscapes: Modelling of Species Requirements at the National Level.” Biological Conservation 108 (3): 307–316. doi:10.1016/S0006-3207(02)00119-2.
  • Clark, M. L., and D. A. Roberts. 2012. “Species-Level Differences in Hyperspectral Metrics among Tropical Rainforest Trees as Determined by a Tree-Based Classifier.” Remote Sensing 4 (6): 1820–1855. doi:10.3390/rs4061820.
  • Coburn, C. A., and A. C. B. Roberts. 2004. “A Multiscale Texture Analysis Procedure for Improved Forest Stand Classification.” International Journal of Remote Sensing 25 (20): 4287–4308. doi:10.1080/0143116042000192367.
  • Dalponte, M., L. Bruzzone, and D. Gianelle. 2012. “Tree Species Classification in the Southern Alps Based on the Fusion of Very High Geometrical Resolution Multispectral/Hyperspectral Images and LiDAR Data.” Remote Sensing of Environment 123: 258–270. doi:10.1016/j.rse.2012.03.013.
  • Dalponte, M., L. Bruzzone, L. Vescovo, and D. Gianelle. 2009. “The Role of Spectral Resolution and Classifier Complexity in the Analysis of Hyperspectral Images of Forest Areas.” Remote Sensing of Environment 113 (11): 2345–2355. doi:10.1016/j.rse.2009.06.013.
  • Dalponte, M., H. O. Ørka, L. T. Ene, T. Gobakken, and N. Erik. 2014. “Tree Crown Delineation and Tree Species Classification in Boreal Forests Using Hyperspectral and ALS Data.” Remote Sensing of Environment 140: 306–317. doi:10.1016/j.rse.2013.09.006.
  • Dalponte, M., F. Reyes, K. Kandare, and D. Gianelle. 2015. “Delineation of Individual Tree Crowns from ALS and Hyperspectral Data: A Comparison among Four Methods.” European Journal of Remote Sensing 48: 365–382. doi:10.5721/EuJRS20154821.
  • Dubitzky, W., M. Granzow, and D. P. Berrar. 2007. Fundamentals of Data Mining in Genomics and Proteomics. New York, NY: Springer Science & Business Media.
  • Duchon, J. 1977. “Splines Minimizing Rotation-Invariant Semi-Norms in Sobolev Spaces.” In Constructive Theory of Functions of Several Variables, edited by W. Schempp, and K. Zeller, 85–100. Berlin: Springer.
  • Fassnacht, F. E., C. Neumann, M. Forster, H. Buddenbaum, A. Ghosh, A. Clasen, P. K. Joshi, and B. Koch. 2014. “Comparison of Feature Reduction Algorithms for Classifying Tree Species with Hyperspectral Data on Three Central European Test Sites.” Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Journal Of 7 (6): 2547–2561. doi:10.1109/JSTARS.2014.2329390.
  • Fassnacht, F. E., H. Latifi, K. Stereńczak, A. Modzelewska, M. Lefsky, L. T. Waser, C. Straub, and A. Ghosh. 2016. “Review of Studies on Tree Species Classification from Remotely Sensed Data.” Remote Sensing of Environment 186: 64–87. doi:10.1016/j.rse.2016.08.013.
  • Féret, J.-B., and G. P. Asner. 2013. “Tree Species Discrimination in Tropical Forests Using Airborne Imaging Spectroscopy.” Geoscience and Remote Sensing, IEEE Transactions On 51 (1): 73–84. doi:10.1109/TGRS.2012.2199323.
  • Féret, J.-B., A. A. Gitelson, S. D. Noble, and S. Jacquemoud. 2017. “PROSPECT-D: Towards Modeling Leaf Optical Properties through a Complete Lifecycle.” Remote Sensing of Environment 193: 204–215. doi:10.1016/j.rse.2017.03.004.
  • Franklin, S. E., R. J. Hall, L. M. Moskal, A. J. Maudie, and M. B. Lavigne. 2000. “Incorporating Texture into Classification of Forest Species Composition from Airborne Multispectral Images.” International Journal of Remote Sensing 21 (1): 61–79. doi:10.1080/014311600210993.
  • Gastellu-Etchegorry, J. P., E. Martin, and F. Gascon. 2004. “DART: A 3D Model for Simulating Satellite Images and Studying Surface Radiation Budget.” International Journal of Remote Sensing 25 (1): 73–96. doi:10.1080/0143116031000115166.
  • Ghiyamat, A., H. Z. M. Shafri, G. A. Mahdiraji, A. R. M. Shariff, and S. Mansor. 2013. “Hyperspectral Discrimination of Tree Species with Different Classifications Using Single-And Multiple-Endmember.” International Journal of Applied Earth Observation and Geoinformation 23: 177–191. doi:10.1016/j.jag.2013.01.004.
  • Ghosh, A., and P. K. Joshi. 2014. “A Comparison of Selected Classification Algorithms for Mapping Bamboo Patches in Lower Gangetic Plains Using Very High Resolution WorldView 2 Imagery.” International Journal of Applied Earth Observation and Geoinformation 26: 298–311. doi:10.1016/j.jag.2013.08.011.
  • Haralick, R. M., and K. Shanmugam, Its’ Hak Dinstein. 1973. “Textural Features for Image Classification.” Systems, Man and Cybernetics, IEEE Transactions On (6): 610–621. doi:10.1109/TSMC.1973.4309314.
  • Hughes, G. 1968. “On the Mean Accuracy of Statistical Pattern Recognizers.” IEEE Transactions on Information Theory 14 (1): 55–63. doi:10.1109/TIT.1968.1054102.
  • Iovan, C., D. Boldo, and M. Cord. 2008. “Modlisation de la vgtation en milieu urbain: Dtection et caractrisation partir d’images ariennes haute rsolution couleur et infrarouge.” Revue française de photogrammétrie et de télédétection 189: 17–27.
  • Jacquemoud, S., and F. Baret. 1990. “PROSPECT: A Model of Leaf Optical Properties Spectra.” Remote Sensing of Environment 34 (2): 75–91. doi:10.1016/0034-4257(90)90100-Z.
  • Jones, O. 2014. “8 (Urban) Places of Trees.” Urban Forests, Trees, and Greenspace: A Political Ecology Perspective 111.
  • Köhler, C. H. 2016. “Airborne Imaging Spectrometer HySpex.” Journal of Large-Scale Research Facilities JLSRF 2 (A93): 1–6. doi:10.17815/jlsrf-2-151.
  • Kuncheva, L. I. 2004. Combining Pattern Classifiers: Methods and Algorithms. Hoboken, NJ: John Wiley & Sons.
  • Li, D., K. Yinghai, H. Gong, and L. Xiaojuan. 2015. “Object-Based Urban Tree Species Classification Using Bi-Temporal Worldview-2 and Worldview-3 Images.” Remote Sensing 7 (12): 16917–16937. doi:10.3390/rs71215861.
  • Nagao, M., T. Matsuyama, and Y. Ikeda. 1979. “Region Extraction and Shape Analysis in Aerial Photographs.” Computer Graphics and Image Processing 10 (3): 195–223. doi:10.1016/0146-664X(79)90001-7.
  • Otsu, N. 1975. “A Threshold Selection Method from Gray-Level Histograms.” Automatica 11 (285–296): 23–27.
  • Paterska, M., H. Bandurska, J. Wysłouch, M. Molińska-Glura, and M. Krzysztof. 2017. “Chemical Composition of Horse-Chestnut (Aesculus) Leaves and Their Susceptibility to Chestnut Leaf Miner Cameraria Ohridella Deschka & Dimić.” Acta Physiologiae Plantarum 39 (4): 105. doi:10.1007/s11738-017-2404-y.
  • Platt, J. 1999. “Probabilistic Outputs for Support Vector Machines and Comparisons to Regularized Likelihood Methods.” Advances in Large Margin Classifiers 10 (3): 61–74.
  • Poutier, L., C. Miesch, X. Lenot, V. Achard, and Y. Boucher. 2002. “COMANCHE and COCHISE: Two Reciprocal Atmospheric Codes for Hyperspectral Remote Sensing.” In 2002 AVIRIS Earth Science and Applications Workshop Proceedings. doi:10.1044/1059-0889(2002/er01).
  • Rajpoot, K. M., and N. M. Rajpoot. 2004. “Wavelets and Support Vector Machines for Texture Classification.” In Multitopic Conference, 2004. Proceedings of INMIC 2004. 8th International, 328–333. Lahore, Pakistan: IEEE.
  • Rouse, J. _. W., Jr, R. H. Haas, J. A. Schell, and D. W. Deering. 1974. “Monitoring vegetation systems in the Great Plains with ERTS.”.
  • Sheeren, D., M. Fauvel, V. Josipović, M. Lopes, C. Planque, J. Willm, and J.-F. Dejoux. 2016. “Tree Species Classification in Temperate Forests Using Formosat-2 Satellite Image Time Series.” Remote Sensing 8 (9): 734. doi:10.3390/rs8090734.
  • Shojanoori, R., and H. Z. M. Shafri. 2016. “Review on the Use of Remote Sensing for Urban Forest Monitoring.” Arboric Urban For 42 (6): 400–417.
  • Shojanoori, R., H. Z. M. Shafri, S. Mansor, and M. H. Ismail. 2018. “Generic Rule-Sets for Automated Detection of Urban Tree Species from Very High-Resolution Satellite Data.” Geocarto International 33 (4): 357–374. doi:10.1080/10106049.2016.1265593.
  • Souchon, J.-P., C. Thom, C. Meynard, O. Martin, and M. Pierrot-Deseilligny. 2010. “The IGN CAMv2 System.” The Photogrammetric Record 25 (132): 402–421. doi:10.1111/j.1477-9730.2010.00601.x.
  • Stavrakoudis, D. G., E. Dragozi, I. Z. Gitas, and C. G. Karydas. 2014. “Decision Fusion Based on Hyperspectral and Multispectral Satellite Imagery for Accurate Forest Species Mapping.” Remote Sensing 6 (8): 6897–6928. doi:10.3390/rs6086897.
  • Ustin, S. L., and J. A. Gamon. 2010. “Remote Sensing of Plant Functional Types.” New Phytologist 186 (4): 795–816. doi:10.1111/j.1469-8137.2010.03284.x.
  • Van Leeuwen, M., N. C. Coops, and M. A. Wulder. 2010. “Canopy Surface Reconstruction from a LiDAR Point Cloud Using Hough Transform.” Remote Sensing Letters 1 (3): 125–132. doi:10.1080/01431161003649339.
  • Verhoef, W. 1984. “Light Scattering by Leaf Layers with Application to Canopy Reflectance Modeling: The SAIL Model.” Remote Sensing of Environment 16 (2): 125–141. doi:10.1016/0034-4257(84)90057-9.
  • Vigouroux, A. 2014. “Le Chancre Color Du Platane.” Accessed November 7 2016http://agriculture.gouv.fr/sites/minagri/files/point dactu - le chancre du platane - decembre 2014.pdf
  • Welch, R. 1982. “Spatial Resolution Requirements for Urban Studies.” International Journal of Remote Sensing 3 (2): 139–146. doi:10.1080/01431168208948387.
  • Wu, T., C-J. Lin, and R. C. Weng. 2004. “Probability Estimates for Multi-Class Classification by Pairwise Coupling.” Journal of Machine Learning Research 5 (Aug): 975–1005.
  • Yin, S., Z. Shen, P. Zhou, X. Zou, S. Che, and W. Wang. 2011. “Quantifying Air Pollution Attenuation within Urban Parks: An Experimental Approach in Shanghai, China.” Environmental Pollution 159 (8): 2155–2163. doi:10.1016/j.envpol.2011.03.009.
  • Zhang, K., and H. Baoxin. 2012. “Individual Urban Tree Species Classification Using Very High Spatial Resolution Airborne Multi-Spectral Imagery Using Longitudinal Profiles.” Remote Sensing 4 (6): 1741–1757. doi:10.3390/rs4061741.
  • Zhen, Z., L. J. Quackenbush, and L. Zhang. 2016. “Trends in Automatic Individual Tree Crown Detection and DelineationEvolution of LiDAR Data.” Remote Sensing 8 (4): 333. doi:10.3390/rs8040333.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.