1. K. Clint Slatton. Adaptive Multiscale Estimation for Fusing Image Data. Ph.D. Dissertation, University of Texas at Austin, 2001. Note: NOTE: My dissertation.[bibtex-entry]



2. J. L. Starck, F. Murtagh, and A. Bijaoui. Image Processing and Data Analysis: the Multiscale Approach. Cambridge University Press, 1998. Note: NOTE: This is the reference for my attempt to estimate multiscale process noise directly in my 10/2000 TGARS submission. The book's methods are interesting, but they are primarily wavelet based and ad hoc.[bibtex-entry]

1. Xuexia Chen, Lee Vierling, Eric Rowell, and Thomas DeFelice. Using lidar and effective LAI data to evaluate IKONOS and Landsat 7 ETM+ vegetation cover estimates in a ponderosa pine forest. rse, 91(1):14-26, 2004. Keyword(s): IKONOS, Landsat 7 ETM+, Lidar, Effective LAI, Linear spectral mixture analysis, Endmembers, EVI, NDVI, Pinus ponderosa, Monodominant forest. [Abstract] [bibtex-entry]



2. Johan Holmgren and Asa Persson. Identifying species of individual trees using airborne laser scanner. rse, 90(4):415-423, 2004. Keyword(s): Laser, Tree detection, Species classification, Crown base height. [Abstract] [bibtex-entry]



3. Tomas Brandtberg, Timothy A. Warner, Rick E. Landenberger, and James B. McGraw. Detection and analysis of individual leaf-off tree crowns in small footprint, high sampling density lidar data from the eastern deciduous forest in North America. rse, 85(3):290-303, 2003. [WWW ] Keyword(s): Image processing, Individual tree, Lidar, Remote sensing, Species classification. [Abstract] [bibtex-entry]



4. R.A. Hill, S.A. Hinsley, D.L.A Gaveau, and P.E. Bellamy. Predicting habitat quality for Great Tits (Parus major) with airborne laser scanning data. ijrs, 24:in press., 2003. [Abstract] [bibtex-entry]



5. George Alan Blackburn. Remote sensing of forest pigments using airborne imaging spectrometer and LIDAR imagery. rse, 82(2-3):311-321, 2002. [WWW ] [Abstract] [bibtex-entry]



6. E. Chuvieco, D. Riano, I. Aguado, and D. Cocero. Estimation of fuel moisture content from multitemporal analysis of Landsat Thematic Mapper reflectance data: applications in fire danger assessment. ijrs, 23(11):2145-2162, 2002. [Abstract] [bibtex-entry]



7. F. J. Garcia-Haro and S. Sommer. A fast canopy reflectance model to simulate realistic remote sensing scenarios. rse, 81(2-3):205-227, 2002. [WWW ] [Abstract] [bibtex-entry]



8. Hans-Gerd Maas. Methods for Measuring Height and Planimetry Discrepancies in Airborne Laserscanner Data. pers, 68(9):933-940, 2002. [WWW ] [Abstract] [bibtex-entry]



9. Kerry McIntosh and Amnon Krupnik. Integration of laser-derived DSMs and matched image edges for generating an accurate surface model. jprs, 53(3):167-176, 2002. [WWW ] Keyword(s): Data integration, airborne laser scanner, Edge matching, DSM, Surface reconstruction, Surface discontinuity modelling. [Abstract] [bibtex-entry]



10. Anssi Pekkarinen. Image segment-based spectral features in the estimation of timber volume. rse, 82(2-3):349-359, 2002. [WWW ] [Abstract] [bibtex-entry]



11. D. A. Pouliot, D. J. King, F. W. Bell, and D. G. Pitt. Automated tree crown detection and delineation in high-resolution digital camera imagery of coniferous forest regeneration. rse, 82(2-3):322-334, 2002. [WWW ] Keyword(s): Tree detection and delineation, Boreal forest regeneration, Local maximum and maximum rate of change analysis, Accuracy assessment. [Abstract] [bibtex-entry]



12. John Degnan, Jan McGarry, Thomas Zagwodzki, Phillip Dabney, and Jennifer Geiger. DESIGN AND PERFORMANCE OF AN AIRBORNE MULTIKILOHERTZ PHOTON-COUNTING, MICROLASER ALTIMETER. International Archives of Photogrammetry and Remote Sensing, XXXIV-3/W4:9-16, 2001. [WWW ] Keyword(s): laser ranging, laser altimetry, photon-counting, microchip lasers, subnanosecond pulse, segmented anode photomultipliers, detector arrays, optical scanners. [Abstract] [bibtex-entry]



13. D.J. Harding, M.A. Lefsky, G.G. Parker, and J.B. Blair. Laser altimeter canopy height profiles: Methods and validation for closed-canopy, broadleaf forests. rse, 76:283-297, 2001. [WWW ] Keyword(s): Laser, Altimeter, Forest, Canopy, Structure, Height, Broadleaf, Lidar, Altimetry, Waveform, SLICER. [Abstract] [bibtex-entry]



14. Juha Hyyppae, O. Kelle, and M. Lehikoinen, and M. Inkinen. A segmentation-based method to retrieve stem volume estimates from 3-D tree height models produced by laser scanners. tgars, 39:969-975, 2001. Keyword(s): geophysical techniques, vegetation mapping, forestry, remote sensing by laser beam, optical radar, geophysical measurement technique, laser, remote sensing, airborne lidar, forest inventory, tree trunk, stem volume, biomass forestry, vegetation mapping, three dimensional structure, tree height model, canopy, laser scanner, stem diameter, boreal forest, high pulse rate. [Abstract] [bibtex-entry]



15. Hans-Gerd Maas. On the use of pulse reflectance data for laserscanner strip adjustment. International Archives of Photogrammetry and Remote Sensing, XXXIV-3/W4:53-65, 2001. [WWW ] Keyword(s): airborne laser scanner, accuracy, pulse reflectance. [Abstract] [bibtex-entry]



16. Robin D. Morris, Udo von Toussaint, and Peter C. Cheeseman. HIGH RESOLUTION SURFACE GEOMETRY AND ALBEDO BY COMBINING LASER ALTIMETRY AND VISIBLE IMAGES. International Archives of Photogrammetry and Remote Sensing, XXXIV-3/W4:105-111, 2001. [WWW ] Keyword(s): Bayesian inference, surface geometry, albedo, computer vision. [Abstract] [bibtex-entry]



17. Geoffrey G. Parker, Michael A. Lefsky, and David J. Harding. Light transmittance in forest canopies determined using airborne laser altimetry and in-canopy quantum measurements. rse, 76:298-309, 2001. [WWW ] [Abstract] [bibtex-entry]



18. Toni Schenk, Suyoung Seo, and Beata Csatho. ACCURACY STUDY OF AIRBORNE LASER SCANNING DATA WITH PHOTOGRAMMETRY. International Archives of Photogrammetry and Remote Sensing, XXXIV-3/W4:113-118, 2001. [WWW ] Keyword(s): Photogrammetry, Laser Ranging, DTM generation, Surface Reconstruction, Calibration, Segmentation, Fusion. [Abstract] [bibtex-entry]



19. Benoit A. St-Onge and Nora Achaichia. MEASURING FOREST CANOPY HEIGHT USING A COMBINATION OF LIDAR AND AERIAL PHOTOGRAPHY DATA. International Archives of Photogrammetry and Remote Sensing, XXXIV-3/W4:131-137, 2001. [WWW ] Keyword(s): lidar, photogrammetry, forest, aerial photography, canopy height. [Abstract] [bibtex-entry]



20. N. Gobron, B. Pinty, M.M. Verstraete, and J.-L. Widlowski. Advanced vegetation indices optimized for up-coming sensors: Design, performance, and applications. tgars, 38(6):2489-2505, 2000. [WWW ] Keyword(s): geophysical techniques, vegetation mapping, remote sensing, geophysical measurement technique, vegetation mapping, remote sensing, advanced vegetation indices, vegetation index, mathematical approach, medium resolution imaging spectrometer, MERIS, global imager, GLI, VEGETATION, visible, IR, infrared, SPOT, optical method, formula, fraction of absorbed photosynthetically active radiation, FAPAR. [Abstract] [bibtex-entry]



21. Juha Hyyppä, Hannu Hyyppä, Mikko Inkinen, Marcus Engdahl, Susan Linko, and Yi-Hong Zhu. Accuracy comparison of various remote sensing data sources in the retrieval of forest stand attributes. fem, 128:109-120, 2000. [WWW ] Keyword(s): Forest inventory, Remote sensing, Stem volume. [Abstract] [bibtex-entry]



22. J. Laferte, P. Perez, and F. Heitz. Discrete Markov Image Modeling and Inference On the Quadtree. Image, 9(3):390-404, 2000. Note: NOTE: Good theory on multiscale analysis. Mentions the Willsky approach and other approaches, so good big-picture perspective. Has good theory too. Deals with discrete pdf's so it is tailored to classification rather than estimation.[bibtex-entry]



23. Yasunori Saito, Ryuta Saito, Takuya D. Kawahara, Akio Nomura, and Satomi Takeda. Development and performance characteristics of laser-induced fluorescence imaging lidar for forestry applications. fem, 128:129-137, 2000. [WWW ] Keyword(s): Lidar, Laser-induced fluorescence, Image, Ginko tree, Forest. [Abstract] [bibtex-entry]



24. M. K. Schneider, P. W. Fieguth, W. C. Karl, and A. S. Willsky. Multiscale Methods for the Segmentation and Reconstruction of Signals and Images. Image, 9(3):456-468, March 2000. Note: NOTE: This is a step beyond DW97 in that they use a nonlinear model. However, it has a close-form inverse and they formulate a psuedo-state variable that is a linear function of their state variable so they can apply the linear MKS directly.[bibtex-entry]



25. R.A. Sommerfeld, J.E. Lundquist, and J. Smith. Characterizing the canopy gap structure of a disturbed forest using the Fourier transform. fem, 128:101-108, 2000. Keyword(s): Spatial statistics, Forest gaps, Fourier analysis. [Abstract] [bibtex-entry]



26. Mike Wulder, K. Olaf Niemann, and David G. Goodenough. Local Maximum Filtering for the Extraction of Tree Locations and Basal Area from High Spatial Resolution Imagery. rse, 73:103-114, 2000. [WWW ] [Abstract] [bibtex-entry]



27. Norbert Haala and Claus Brenner. Extraction of buildings and trees in urban environments. jprs, 54(2-3):130-137, 1999. [WWW ] Keyword(s): virtual city models, 3D modeling, classification, building extraction, tree extraction. [Abstract] [bibtex-entry]



28. Juha Hyyppä, Hannu Hyyppä, Mikko Inkinen, Marcus Engdahl, Susan Linko, and Yi-Hong Zhu. Accuracy comparison of various remote sensing data sources in the retrieval of forest stand attributes. fem, 128:109-120, 1999. [Abstract] [bibtex-entry]



29. Michael A. Lefsky, D. Harding, W. B. Cohen, G. Parker, and and H. H. Shugart. Surface Lidar Remote Sensing of Basal Area and Biomass in Deciduous Forests of Eastern Maryland, USA. rse, 67:83-98, 1999. [WWW ] Keyword(s): Remote sensing, Forestry, Optical radar, Biomass, Data acquisition, Regression analysis, airborne laser scanner, Quadratic mean canopy height, Chronosequence data set. [Abstract] [bibtex-entry]



30. S. Magnussen, F. Gougeon, D. Leckie, and M. Wulder. Predicting tree heights from a combination of LIDAR canopy heights and digital stem counts. Remote Sensing and Forest Monitoring, Rogow, Poland, Conference Proceedings, 1999. [WWW ] [Abstract] [bibtex-entry]



31. Joseph E. Means, Steven A. Acker, David J. Harding, J. Bryan Blair, Michael A. Lefsky, Warren B. Cohen, Mark E. Harmon, and W. Arthur McKee. Use of Large-Footprint Scanning Airborne Lidar To Estimate Forest Stand Characteristics in the Western Cascades of Oregon. rse, 67:298-308, 1999. [WWW ] [Abstract] [bibtex-entry]



32. Hiroshi Murakami, Katsuto Nakagawa, Hiroyuki Hasegawa, Taku Shibata, and Eiji Iwanami. Change detection of buildings using an airborne laser scanner. jprs, 54(2-3):148-152, 1999. [WWW ] Keyword(s): change detection, airborne laser scanner, building, digital surface model. [Abstract] [bibtex-entry]



33. Y. Weiss. Interpreting images by propagating Bayesian beliefs, pages 908-915. Advances in Neural Information Processing Systems. 1997. Note: Note: (editors M.C. Mozer, M.I. Jordan, and T. Petsche). [bibtex-entry]



34. François A. Gougeon, Benoit A. St-Onge, Mike Wulder, and Donald G. Leckie. Synergy of Airborne Laser Altimetry and Digital Videography for Individual Tree Crown Delineation. . [Abstract] [bibtex-entry]

1. Hans-Erik Andersen, Stephen E. Reutebuch, and Gerard F. Schreuder. Bayesian Object Recognition for the Analysis of Complex Forest Scenes in Airborne Laser Scanner Data. In ISPRS Commission III, Symposium 2002 September 9 - 13, 2002, Graz, Austria, pages A-035 ff (7 pages), 2002. [WWW ] Keyword(s): Forestry, laser scanning, LIDAR, object, recognition, remote sensing, statistics. [Abstract] [bibtex-entry]



2. Mathias Schardt, Michaela Ziegler, Andreas Wimmer, Roland Wack, and Juha Hyyppae. Assessment of Forest Parameters by Means of Laser Scanning. In ISPRS Commission III, Symposium 2002 September 9 - 13, 2002, Graz, Austria, pages A-302 ff (8 pages), 2002. [WWW ] Keyword(s): Forest Inventory, Laser Scanning Data, Segmentation. [Abstract] [bibtex-entry]



3. N. T. Eggleston, M. Watson, D. L. Evans, R. J. Moorhead, and J. W. McCombs. Visualization of airborne multiple-return LIDAR imagery from a forested landscape. In Anonymous, editor, Proceedings ERIM Intrnl Confr on Geospatial Infor. in Agriculture and Forestry, volume 1, pages 470-477, 2000. [bibtex-entry]

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