-
C. Berrou and A. Glavieux.
Near optimum error correcting coding and decoding: Turbo-codes.
IEEE Trans. on Communications,
44:1261-1271,
1996.
@article{RefWorks:790,
author={C. Berrou and A. Glavieux},
year={1996},
title={Near optimum error correcting coding and decoding: Turbo-codes},
journal={IEEE Trans. on Communications},
volume={44},
pages={1261-1271}
}
-
Juha Hyyppä and Martti Hallikainen.
Applicability of Airborne Profiling Radar to Forest Inventory.
rse,
57:39-57,
1996.
[WWW
] Keyword(s): Radar,
Forestry,
Data reduction,
Radar measurement,
Helicopters,
Estimation,
Remote sensing,
Airborne profiling radar,
Forest inventory,
Ranging scatterometer,
Forest canopy,
Multivariate data analysis,
Radar stand profiles.
Abstract: |
In this work the applicability of airborne profiling radar to forest inventory was studied in detail. The radar stand profiles were collected by using a helicopter-borne ranging scatterometer, HUTSCAT (Helsinki University of Technology SCATterometer), which can probe the forest canopy from the top to the bottom due to its ranging capability. Several radar variables were analyzed from stand profiles, and compared with field-measured characteristics of 20 m by 20 m sample plots, by applying multivariate data analysis methods. It was shown that mean and dominant heights, height of the crown base line, and stem volume per hectare can be obtained with good accuracy. Furthermore, the ranging radar can measure mean and dominant tree heights more accurately than is usually obtained with conventional field measurements. As possible direct application, it is proposed that radar measurements would be employed with helicopter-borne ocular inventories in order to improve the estimation accuracy and to speed up the measurements. |
@Article{Hyyppae96,
author = {Juha Hyyppä and Martti Hallikainen},
title = {Applicability of Airborne Profiling Radar to Forest Inventory},
journal = rse,
year = {1996},
volume = {57},
pages = {39-57},
keyword = {Radar, Forestry, Data reduction, Radar measurement; Helicopters, Estimation, Remote sensing, Airborne profiling radar; Forest inventory, Ranging scatterometer, Forest canopy, Multivariate data analysis, Radar stand profiles},
abstract = {In this work the applicability of airborne profiling radar to forest inventory was studied in detail. The radar stand profiles were collected by using a helicopter-borne ranging scatterometer, HUTSCAT (Helsinki University of Technology SCATterometer), which can probe the forest canopy from the top to the bottom due to its ranging capability. Several radar variables were analyzed from stand profiles, and compared with field-measured characteristics of 20 m by 20 m sample plots, by applying multivariate data analysis methods. It was shown that mean and dominant heights, height of the crown base line, and stem volume per hectare can be obtained with good accuracy. Furthermore, the ranging radar can measure mean and dominant tree heights more accurately than is usually obtained with conventional field measurements. As possible direct application, it is proposed that radar measurements would be employed with helicopter-borne ocular inventories in order to improve the estimation accuracy and to speed up the measurements. },
url = {http://www.sciencedirect.com/science/article/B6V6V-3WDC4V3-G/1/31205e82ee2c1155bafc91c2e66fa439},
}
-
R. Lanari,
G. Fornaro,
D. Riccio,
M. Migliaccio,
K. P. Papathanassiou,
J. R. Moreira,
M. Schwäbisch,
L. Dutra,
G. Puglisi,
G. Franceschetti,
and M. Coltelli.
Generation of Digital Elevation Models by Using SIR-C/X-SAR Multifrequency Two-Pass Interferometry: The Etna Case Study.
TGARS,
34(5):1097-1114,
September 1996.
Note: NOTE: This is a multi-frequency reference I when I talk about why it doesn't work for the vegetation estimation problem. Note, they also fuse their data using a Kalman approach. However, it is not multiscale, and they deal with nonlinearities by polynomial curve fitting, etc.
@article{RefWorks:705,
author={R. Lanari and G. Fornaro and D. Riccio and M. Migliaccio and K. P. Papathanassiou and J. R. Moreira and M. Schw{\"a}bisch and L. Dutra and G. Puglisi and G. Franceschetti and M. Coltelli},
year={1996},
month={Sep},
title={Generation of Digital Elevation Models by Using SIR-C/X-SAR Multifrequency Two-Pass Interferometry: The Etna Case Study},
journal={TGARS},
volume={34},
number={5},
pages={1097-1114},
note={NOTE: This is a multi-frequency reference I when I talk about why it doesn't work for the vegetation estimation problem. Note, they also fuse their data using a Kalman approach. However, it is not multiscale, and they deal with nonlinearities by polynomial curve fitting, etc.}
}
-
Mats Nilsson.
Estimation of Tree Heights and Stand Volume Using an Airborne Lidar System.
rse,
56:1-7,
1996.
[WWW
] Keyword(s): Environmental engineering,
Estimation,
Optical radar,
Lasers,
Scanning,
Data acquisition,
Coastal zones,
Tree height,
Stand volume,
airborne laser scanner.
Abstract: |
The use of an airborne lidar system for estimating tree heights and stand volume was investigated. A helicopterborne laser was tested in a coastal Scots pine stand where mean height was approximately 12.5 m. The laser equipment operated in a scanning mode and different laser footprints and sampling densities were tested at three independent registration times: one in June, one in October, and one in December. The tested footprints, measured at the ground, were between 0.75 m and 3.0 m in diameter. The results showed that the mean tree height was underestimated by 2.1-3.7 m. Optimal laser footprint size was found to change across data acquisition times. |
@Article{nilsson96,
author = {Mats Nilsson},
title = {Estimation of Tree Heights and Stand Volume Using an Airborne Lidar System},
journal = rse,
year = {1996},
volume = {56},
pages = {1-7},
keyword = {Environmental engineering, Estimation, Optical radar; Lasers, Scanning, Data acquisition, Coastal zones, Tree height; Stand volume, airborne laser scanner},
url = {http://www.sciencedirect.com/science/article/B6V6V-3VVT36S-1/1/c3b87a12052e49e7a2c81ecb202bf9eb},
abstract = {The use of an airborne lidar system for estimating tree heights and stand volume was investigated. A helicopterborne laser was tested in a coastal Scots pine stand where mean height was approximately 12.5 m. The laser equipment operated in a scanning mode and different laser footprints and sampling densities were tested at three independent registration times: one in June, one in October, and one in December. The tested footprints, measured at the ground, were between 0.75 m and 3.0 m in diameter. The results showed that the mean tree height was underestimated by 2.1-3.7 m. Optimal laser footprint size was found to change across data acquisition times. },
}
-
R. N. Treuhaft,
S. N. Madsen,
M. Moghaddam,
and J. J. van Zyl.
Vegetation Characteristics and Underlying Topography from Interferometric Radar.
RADIO,
31(6):1449-1485,
November 1996.
Note: NOTE: Thi.
@article{RefWorks:702,
author={R. N. Treuhaft and S. N. Madsen and M. Moghaddam and J. J. van Zyl},
year={1996},
month={Nov},
title={Vegetation Characteristics and Underlying Topography from Interferometric Radar},
journal={RADIO},
volume={31},
number={6},
pages={1449-1485},
note={NOTE: Thi}
}