-
1
-
-
77952881448
-
Multispectral and hyper spectral remote sensing for identification and mapping of wetland vegetation: A review
-
10.1007/s11273-009-9169-z
-
Adam E., Mutanga O., Rugege D., 2009, Multispectral and hyper spectral remote sensing for identification and mapping of wetland vegetation: A review, Wetlands Ecology and Management, 10.1007/s11273-009-9169-z.
-
(2009)
Wetlands Ecology and Management
-
-
Adam, E.1
Mutanga, O.2
Rugege, D.3
-
2
-
-
84883003995
-
MS + Pan image fusion by an enhanced Gram-Schmidt spectral sharpening
-
Z. Bochenek (ed.) -2007 Millpress, Rotterdam, ISBN 978-90-5966-053-3
-
Aiazzi B., Baronti S., Selva M Alparone L., 2007, MS + Pan image fusion by an enhanced Gram-Schmidt spectral sharpening, New Developments and Challenges in Remote Sensing, Z. Bochenek (ed.) -2007 Millpress, Rotterdam, ISBN 978-90-5966-053-3.
-
(2007)
New Developments and Challenges in Remote Sensing
-
-
Aiazzi, B.1
Baronti, S.2
Selva, M.3
Alparone, L.4
-
3
-
-
84867253834
-
Comparison of remote sensing approach for mangrove mapping over Penang island
-
3-5 July 2012, Kuala Lumpur, Malaysia
-
Chun B.B., Mat Jafri M.Z., and San L.H., 2012, Comparison of Remote Sensing Approach for Mangrove Mapping over Penang Island, International Conference on Computer and Communication Engineering (ICCCE 2012), 3-5 July 2012, Kuala Lumpur, Malaysia, 258- 262.
-
(2012)
International Conference on Computer and Communication Engineering (ICCCE 2012)
, pp. 258-262
-
-
Chun, B.B.1
Mat, J.M.Z.2
San, L.H.3
-
4
-
-
34948847553
-
Comparison of neural network and maximum likelihood high resolution image classification for weed detection in crops: Applications in precision agriculture
-
Eddy P.R., 2006, Comparison of Neural Network and Maximum Likelihood High Resolution Image Classification for Weed Detection in Crops: Applications in Precision Agriculture, IEEE International Conference on Geoscience and Remote Sensing Symposium, 2006. IGARSS 2006. 116- 119.
-
(2006)
IEEE International Conference on Geo Science and Remote Sensing Symposium, 2006, IGARSS 2006
, pp. 116-119
-
-
Eddy, P.R.1
-
5
-
-
48749090436
-
-
date of access 5 Sept 2013
-
FAO (Food and Agriculture Organization of the United Nations), 2007, The world's mangroves 1980-2005. Available online http://www.fao.org/docrep/010/ a1427e/a1427e00.htm (date of access 5 Sept 2013).
-
(2007)
The World's Mangroves 1980-2005
-
-
-
6
-
-
0028874010
-
Using prior knowledge in artificial neural network classification with a minimal training set
-
Foody G.M., 1995, Using prior knowledge in artificial neural network classification with a minimal training set, International Journal of Remote Sensing, (16) 301-312.
-
(1995)
International Journal of Remote Sensing
, Issue.16
, pp. 301-312
-
-
Foody, G.M.1
-
7
-
-
84903461291
-
Mangrove threats and changes
-
(Eds) Omar, H. Aziz, K.A. Shamsudin and Barizan, R.S.R, Forest Research Institute Malaysia, Sungai Buloh: Gemilang Press Sdn. Bhd
-
Hamdan Omar, 2012, Mangrove Threats and Changes. In Status of Mangroves in Peninsular Malaysia. (Eds) Omar, H., Aziz, K.A., Shamsudin and Barizan, R.S.R, Forest Research Institute Malaysia, Sungai Buloh: Gemilang Press Sdn. Bhd. 148 pp.
-
(2012)
Status of Mangroves in Peninsular Malaysia
, pp. 148
-
-
Omar, H.1
-
8
-
-
84856762488
-
Hyperspectral data for mangrove species mapping: A comparison of pixel-based and object-based approach
-
Kamal M., Phinn S., 2011, Hyperspectral Data for Mangrove Species Mapping: A Comparison of Pixel-Based and Object-Based Approach. Remote Sensing (3) 2222-2242.
-
(2011)
Remote Sensing
, Issue.3
, pp. 2222-2242
-
-
Kamal, M.1
Phinn, S.2
-
9
-
-
76849090094
-
Perpixel and sub-pixel classifications of high resolution satellite data for mangrove species mapping
-
Kanniah K.D., Ng Su Wai, Alvin Lau Meng Shin and Abd. Wahid Rasib, 2007, Perpixel and sub-pixel classifications of high resolution satellite data for mangrove species mapping, Applied GIS, (3) 1-22.
-
(2007)
Applied GIS
, Issue.3
, pp. 1-22
-
-
Kanniah, K.D.1
Wai, N.S.2
Shin, A.L.M.3
Rasib, A.W.4
-
10
-
-
80052503089
-
Remote sensing of mangrove ecosystems: A review
-
Kuenzer C., Bluemel A., Gebhardt S, Quoc T.V, Dech S., 2011, Remote Sensing of Mangrove Ecosystems: A Review, Remote Sensing, (3), 878-928.
-
(2011)
Remote Sensing
, Issue.3
, pp. 878-928
-
-
Kuenzer, C.1
Bluemel, A.2
Gebhardt, S.3
Quoc, T.V.4
Dech, S.5
-
11
-
-
33244495276
-
-
US Patent # 6, 011, 875, Eastman Kodak Company
-
Laben C.A., Brower B.V., 2000, Process for enhancing the spatial resolution of multispectral imagery using pansharpening. US Patent # 6, 011, 875, Eastman Kodak Company.
-
(2000)
Process for Enhancing the Spatial Resolution of Multispectral Imagery Using Pansharpening
-
-
Laben, C.A.1
Brower, B.V.2
-
12
-
-
84903471449
-
Management of mangroves in Peninsular Malaysia
-
(Eds) Omar, H. Aziz, K.A. Shamsudin and Barizan, R.S.R, Forest Research Institute Malaysia, Sungai Buloh: Gemilang Press Sdn. Bhd
-
Suhaili R, 2012, Management of mangroves in Peninsular Malaysia. In Status of Mangroves in Peninsular Malaysia. (Eds) Omar, H., Aziz, K.A., Shamsudin and Barizan, R.S.R, Forest Research Institute Malaysia, Sungai Buloh: Gemilang Press Sdn. Bhd. 148 pp.
-
(2012)
Status of Mangroves in Peninsular Malaysia
, pp. 148
-
-
Suhaili, R.1
-
13
-
-
83155178369
-
Comparison of Neural Network and Maximum Likelihood classifiers for land cover classification using landsat multispectral data
-
Tan K.C., Lim H.S., Jafri M.Z.M., 2011, Comparison of Neural Network and Maximum Likelihood classifiers for land cover classification using landsat multispectral data, Open Systems (ICOS), 2011 IEEE Conference, 241 - 244.
-
(2011)
Open Systems (ICOS), 2011 IEEE Conference
, pp. 241-244
-
-
Tan, K.C.1
Lim, H.S.2
Jafri, M.Z.M.3
-
15
-
-
2942752404
-
Comparison of IKONOS and quick bird images for mapping mangrove species on the Caribbean coast of panama
-
Wang L., Wayne P., Sousa P.G., Gregory S.B. 2004, Comparison of IKONOS and Quick Bird images for mapping mangrove species on the Caribbean coast of Panama, Remote Sensing of Environment, (91) 432-440.
-
(2004)
Remote Sensing of Environment
, Issue.91
, pp. 432-440
-
-
Wang, L.1
Wayne, P.2
Sousa, P.G.3
Gregory, S.B.4
-
16
-
-
77958511566
-
An automated artificial neural network system for land use/land cover classification from Landsat TM imagery
-
Yuan H., Van Der Wiele C. F., Khorram S., 2009, An Automated Artificial Neural Network System for Land Use/Land Cover Classification from Landsat TM Imagery, Remote Sensing, (1) 243-265.
-
(2009)
Remote Sensing
, Issue.1
, pp. 243-265
-
-
Yuan, H.1
Van Der Wiele, C.F.2
Khorram, S.3
-
17
-
-
78649769625
-
Performance analyzing of high resolution pan-sharpening techniques: Increasing image quality for classification using supervised kernel support vector machine
-
Yuhendra J.T., Sumantyo and Kuze H., 2011, Performance analyzing of high resolution pan-sharpening techniques: Increasing image quality for classification using supervised kernel support vector machine. Research Journal of Information Technology, (3) 12-23.
-
(2011)
Research Journal of Information Technology
, Issue.3
, pp. 12-23
-
-
Yuhendra, J.T.1
Sumantyo2
Kuze, H.3
-
18
-
-
84879376560
-
Use of neural networks for land cover classification from remotely sensed imagery
-
Beijing 2008
-
Zhou L., Yang X., 2008, Use of neural networks for land cover classification from remotely sensed imagery, The International Archives of the Photo grammetry, Remote Sensing and Spatial Information Sciences. Vol. XXXVII. Part B7. Beijing 2008.
-
(2008)
The International Archives of the Photo Grammetry, Remote Sensing and Spatial Information Sciences
, vol.37
, Issue.PART B7
-
-
Zhou, L.1
Yang, X.2
|