-
1
-
-
77956549868
-
The Use of TM Thermal Band for Land Cover/Land Use Mapping in Two Different Environmental Conditions of Iran
-
Alavi Panah, S. K., De Dapper, M, Goosenes, R. and Massoudi, M. 2001. The Use of TM Thermal Band for Land Cover/Land Use Mapping in Two Different Environmental Conditions of Iran, J. Agric. Sci. Technol., 3: 27-36
-
(2001)
J. Agric. Sci. Technol
, vol.3
, pp. 27-36
-
-
Alavi-Panah, S.K.1
de Dapper, M.2
Goosenes, R.3
Massoudi, M.4
-
2
-
-
84978145069
-
Evaluation of the Usefulness of Texture Measue for Crop Type Classification by Hyperion Data
-
Part B8, Beijing 2008, XXXVII
-
Ashoori, H., Fahimnezhad, H., Alimohammadi, A. and Soofbaf, S. R. 2008. Evaluation of the Usefulness of Texture Measue for Crop Type Classification by Hyperion Data. The International Archives of The Spatial Information Sciences, Part B8, Beijing 2008, XXXVII: 999-1006
-
(2008)
The International Archives of the Spatial Information Sciences
, pp. 999-1006
-
-
Ashoori, H.1
Fahimnezhad, H.2
Alimohammadi, A.3
Soofbaf, S.R.4
-
3
-
-
80855135710
-
-
Department of Geography, University of Cincinnati, USA
-
Beck, R. 2003. EO1 User Guide Ver. 2003. Department of Geography, University of Cincinnati, USA.
-
(2003)
EO1 User Guide Ver. 2003
-
-
Beck, R.1
-
4
-
-
0002416237
-
Post-aTREM Polishing of AVIRIS Apparent Reflectance Data Using EFFORT: A Lesson in Accuracy Versus Precision
-
Boardman, J. W. 1998. Post-aTREM Polishing of AVIRIS Apparent Reflectance Data Using EFFORT: A Lesson in Accuracy Versus Precision. In Summaries of the Seventh JPL Airborne Earth Science Workshop, 1: 53.
-
(1998)
Summaries of the Seventh JPL Airborne Earth Science Workshop
, vol.1
, pp. 53
-
-
Boardman, J.W.1
-
5
-
-
71449119898
-
Greenhouse Detection Using Neural Network with a Very High Resolution Satellite Image
-
Carvajal, F., Crisanto, E., Aguera, F. and Aguilar, M. A. 2006. Greenhouse Detection Using Neural Network with a Very High Resolution Satellite Image. ISPRS Technical Commission 2 Symposium, PP. 37-42.
-
(2006)
ISPRS Technical Commission 2 Symposium
, pp. 37-42
-
-
Carvajal, F.1
Crisanto, E.2
Aguera, F.3
Aguilar, M.A.4
-
6
-
-
84983427500
-
Discriminating Species Using Hyperspectral Indices at Leaf and Canopy Scales
-
Part B8, Beijing 2008, XXXVII
-
Cho, M. A, Sobhan, I, Skidmore, A. and Leevw, J. 2008. Discriminating Species Using Hyperspectral Indices at Leaf and Canopy Scales. The International Archives of the Spatial Information Sciences. Part B8, Beijing 2008, XXXVII: 369-376.
-
(2008)
International Archives of the Spatial Information Sciences
, pp. 369-376
-
-
Cho, M.A.1
Sobhan, I.2
Skidmore, A.3
Leevw, J.4
-
7
-
-
0005690050
-
Classification of Multi-spectral, Multi-temporal Multi-source Spatial Data Using Artificial Neural Networks
-
Civco, D. L. and Waug, Y. 1994. Classification of Multi-spectral, Multi-temporal Multi-source Spatial Data Using Artificial Neural Networks. In Proceeding of the ASPRS, Annual Convention, Reno, 1994, PP. 123-133.
-
(1994)
Proceeding of the ASPRS, Annual Convention, Reno
, pp. 123-133
-
-
Civco, D.L.1
Waug, Y.2
-
8
-
-
0022083879
-
-
NASA Reference Publications
-
David, E., Bowker, R. and Davids, E. 1985. Spectral Reflectance of Natural Target for Use in Remote Sensing Studies. NASA Reference Publications, 26: 30-67.
-
(1985)
Spectral Reflectance of Natural Target For Use In Remote Sensing Studies
, vol.26
, pp. 30-67
-
-
David, E.1
Bowker, R.2
Davids, E.3
-
9
-
-
80855151027
-
-
FLAASH Module User guide. ENVI FLAASH Version 4.2 August, 2005 Edition
-
FLAASH Module User guide. ENVI FLAASH Version 4.2 August, 2005 Edition
-
-
-
-
10
-
-
0041881831
-
Processing HYPERION and ALI for Forest Classification
-
Goodenough, D. G., Dyk, A., Niemann, O., Pearlman, J. S., Chen, H., Han, T., Murdoch, M. and West, C. 2003. Processing HYPERION and ALI for Forest Classification.IEEE Trans. Geosci. Remote Sensing, 41(2): 1321-1331
-
(2003)
IEEE Trans. Geosci. Remote Sensing
, vol.41
, Issue.2
, pp. 1321-1331
-
-
Goodenough, D.G.1
Dyk, A.2
Niemann, O.3
Pearlman, J.S.4
Chen, H.5
Han, T.6
Murdoch, M.7
West, C.8
-
11
-
-
0036401102
-
-
IGARSS, Toronto, ON, Canada
-
Han, T., Goodenough, D. G., Dyk, A. and Love, J. 2002. Detection and Correction of Abnormal Pixels in Hyperion Image. IGARSS, Toronto, ON, Canada, 3: 1327-1330.
-
(2002)
Detection and Correction of Abnormal Pixels In Hyperion Image
, vol.3
, pp. 1327-1330
-
-
Han, T.1
Goodenough, D.G.2
Dyk, A.3
Love, J.4
-
12
-
-
33947099470
-
Artificial Neural Network Model as a Data Analysis Tool in Precision Farming
-
Irmak, A., Jones, J. W., Batchlor, W. D., Irmak, S., Bbootek, K. J. and Paz, J. O. 2006. Artificial Neural Network Model as a Data Analysis Tool in Precision Farming. Am. Soc. Agri. Eng., 49(6): 2027-2037
-
(2006)
Am. Soc. Agri. Eng
, vol.49
, Issue.6
, pp. 2027-2037
-
-
Irmak, A.1
Jones, J.W.2
Batchlor, W.D.3
Irmak, S.4
Bbootek, K.J.5
Paz, J.O.6
-
14
-
-
0001130002
-
Multi-layer Neural Networks for Image Analysis of Agricultural Products
-
Jayas D. S. and Paliwal, J. 2000. Multi-layer Neural Networks for Image Analysis of Agricultural Products. J. agric. Engng Res., 77(2): 119-128
-
(2000)
J. Agric. Engng Res
, vol.77
, Issue.2
, pp. 119-128
-
-
Jayas, D.S.1
Paliwal, J.2
-
15
-
-
46249093423
-
A Method in Extracting Vegetation Quality Parameters Using Hyperion Images, with Application to Precision Farming
-
Mobasheri, M. R., Rezaei, Y. and Valadan Zoej, M. J. 2007. A Method in Extracting Vegetation Quality Parameters Using Hyperion Images, with Application to Precision Farming. IDOST Publications, World App. Sci. J., 2(5): 476-483.
-
(2007)
IDOST Publications, World App. Sci. J
, vol.2
, Issue.5
, pp. 476-483
-
-
Mobasheri, M.R.1
Rezaei, Y.2
Valadan-Zoej, M.J.3
-
16
-
-
1242265184
-
Detecting Sugarcane 'Orange Rust' Disease Using EO-1 Hyperion Hyperspectral Imagers
-
Pan, A., Held, A., Phinn, S. and Markley, J. 2004. Detecting Sugarcane 'Orange Rust' Disease Using EO-1 Hyperion Hyperspectral Imagers. Int. J. Remote Sensing, 489 - 498
-
(2004)
Int. J. Remote Sensing
, pp. 489-498
-
-
Pan, A.1
Held, A.2
Phinn, S.3
Markley, J.4
-
17
-
-
0029341018
-
A Detailed Comparison of Backpropagation Neural Network and Maximum-likelihood Classifiers for Urban Land Use Classification
-
IEEE Transactions on
-
Paola, J. D. and Schowengerdt, R. A. 1995. A Detailed Comparison of Backpropagation Neural Network and Maximum-likelihood Classifiers for Urban Land Use Classification. Geoscience and Remote Sensing, IEEE Transactions on 33(4): 981 - 996
-
(1995)
Geoscience and Remote Sensing
, vol.33
, Issue.4
, pp. 981-996
-
-
Paola, J.D.1
Schowengerdt, R.A.2
-
18
-
-
0036893997
-
Radiative Transfer Codes Applied to Hyperspectral Data for the Retrieval of Surface Reflectance
-
Staenz, K., Secker, J., Gao, B.-C., Davis, C., and Nadeau, C. 2002. Radiative Transfer Codes Applied to Hyperspectral Data for the Retrieval of Surface Reflectance. ISPRS J. Photogramm. Remote Sens., 57:194-203.
-
(2002)
ISPRS J. Photogramm. Remote Sens
, vol.57
, pp. 194-203
-
-
Staenz, K.1
Secker, J.2
Gao, B.-C.3
Davis, C.4
Nadeau, C.5
-
19
-
-
0031374466
-
Methodology for Hyperspectral Image Classification Using Novel Neural Network
-
Bellingham
-
Subramaniana, S., Gata, N., Sheffield, M., Barhenb, J. and Toomaria, N. 1997. Methodology for Hyperspectral Image Classification Using Novel Neural Network. Soc. Photo-optical Instrumentation Eng., Bellingham, 3071: 128-137
-
(1997)
Soc. Photo-optical Instrumentation Eng
, vol.3071
, pp. 128-137
-
-
Subramaniana, S.1
Gata, N.2
Sheffield, M.3
Barhenb, J.4
Toomaria, N.5
-
20
-
-
72349087537
-
USGS Digital Spectral Library
-
USGS Digital Spectral Library: http://speclab.cr.usgs.gov/spectral-lib.html
-
-
-
-
21
-
-
34047192689
-
-
th International Conference, 20-24 August 2006, NICTA, Australian Nat. Univ., Canberra
-
th International Conference, 20-24 August 2006, NICTA, Australian Nat. Univ., Canberra, pp. 1059-1062.
-
(2006)
Boosted Band Ratio Feature Selection For Hyperspectral Image Classification
, pp. 1059-1062
-
-
Zhouyu, F.1
Terry, C.2
Nianjun, L.3
Robles, A.4
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