References
- Abidi , MA and Gonzalez , RC . 1992 . Data fusion in robotics and machine intelligence , New York : Academic Press .
- Amarsaikhan , D and Ganzorig , M . 1997 . Comparison of different pattern recognition techniques . Scientific Papers of Informatics Centre . 1997 . pp. 71 – 75 . Ulaanbaatar, , Mongolia : Mongolian Academy of Sciences .
- Amarsaikhan , D and Douglas , T . 2004 . Data fusion and multisoure data classification . International Journal of Remote Sensing , 25 ( 17 ) : 3529 – 3539 .
- Amarsaikhan , D and Sato , M . 2004 . Validation of the Pi-SAR data for land cover mapping . Journal of the Remote Sensing Society of Japan , 24 ( 2 ) : 133 – 139 .
- Amarsaikhan , D . 2004 . An integrated approach of optical and SAR images for forest change study . Asian Journal of Geoinformatics , 3 : 27 – 33 .
- Amarsaikhan , D . 2007 . The integrated use of optical and InSAR data for urban land cover mapping . International Journal of Remote Sensing , 28 : 1161 – 1171 .
- Amarsaikhan , D . 2009 . Applications of remote sensing and geographic information systems for urban land-cover changes studies . Geocarto International , 24 ( 4 ) : 257 – 271 .
- Benediktsson , JA . 1997 . Feature extraction for multi-source data classification with artificial neural networks . International Journal of Remote Sensing , 18 : 727 – 740 .
- Ehlers , M . 2004 . Spectral characteristics preserving image fusion based on Fourier domain filtering . In: Remote sensing for environmental monitoring, GIS applications, and geology IV, proceedings of SPIE . 2004 , Bellingham, WA. 93–116
- Ehlers, M., Klonus, S., and Åstrand, P.J., 2008. Quality Assessment for multi-sensor multi-date image fusion, CD-ROM proceedings of ISPRS congresses, 3–11 July 2008, Beijing, China.
- ENVI, 1999, User's guide, Research systems
- Erbek , FS , Zkan , CO and Taberner , M . 2004 . Comparison of maximum likelihood classification method with supervised artificial neural network algorithms for land use activities . International Journal of Remote Sensing , 25 ( 9 ) : 1733 – 1748 .
- ERDAS 1999, Field guide. 5th ed. Atlanta, GA: ERDAS, Inc
- Franklin , SE . 2002 . Evidential reasoning with Landsat TM, DEM and GIS data for landcover classification in support of grizzly bear habitat mapping . International Journal of Remote Sensing , 23 ( 21 ) : 4633 – 4652 .
- Harris , JR , Murray , R and Hirose , T . 1990 . IHS transform for the integration of radar imagery with other remotely sensed data . Photogrammetric Engineering and Remote Sensing , 56 : 1631 – 1641 .
- Hegarat-Mascle , SL . 2000 . Land cover discrimination from muti-temporal ERS images and multispectral Landsat images: a study case in an agricultural area in France . International Journal of Remote Sensing , 21 : 435 – 456 .
- Lee, K., Jeon, S.H., and Kwon, B.D., 2004. Urban feature characterization using high-resolution satellite imagery: texture analysis approach, CD ROM Proceeding of MAPASIA 2004 Conference, Beijing, China.
- Lu , D and Weng , Q . 2007 . A survey of image classification methods and techniques for improving classification performance . International Journal of Remote Sensing , 28 ( 5 ) : 823 – 870 .
- Mather , PM . 1999 . Computer processing of remotely-sensed images: an introduction , 2nd , Chichester : John Wiley & Sons .
- Munechika , CK . 1993 . Resolution enhancement of multispectral image data to improve classification accuracy . Photogrammetric Engineering and Remote Sensing , 59 : 67 – 72 .
- Pajares , G and Cruz , JM . 2004 . A wavelet-based image fusion . Pattern Recognition , 37 ( 9 ) : 1855 – 1872 .
- Pohl , C and van Genderen , JL . 1998 . Multisensor image fusion in remote sensing: concepts, methods and applications . International Journal of Remote Sensing , 19 : 823 – 854 .
- Ricchetti , E . 2001 . Visible-infrared and radar imagery fusion for geological application: a new approach using DEM and sun-illumination model . International Journal of Remote Sensing , 22 : 2219 – 2230 .
- Richards , JA and Xia , S . 1999 . Remote sensing digital image analysis–an introduction , 3rd , Berlin : Springer-Verlag .
- Serkan , M . 2008 . Edge and fine detail preservation in SAR images through speckle reduction with an adaptive mean filter . International Journal of Remote Sensing , 29 ( 23 ) : 6727 – 6738 .
- Serpico , SB and Roli , F . 1995 . Classification of multisensor remote sensing images by structural neural networks . IEEE Transactions on Geoscience and Remote Sensing , 33 : 562 – 578 .
- Solberg , AHS , Taxt , T and Jain , AK . 1996 . A Markov random field model for classification of multi-source satellite imagery . IEEE Transactions on Geoscience and Remote Sensing , 34 : 100 – 112 .
- Ulaby , FT . 1986 . Textural information in SAR images . IEEE Transactions on Geoscience and Remote Sensing , 24 : 235 – 245 .
- van Genderen , JL . 1989 . High resolution satellite data for urban monitoring . International Journal of Remote Sensing , 10 : 257 – 258 .
- Vrabel , J . 1996 . Multispectral imagery band sharpening study . Photogrammetric Engineering and Remote Sensing , 62 : 1075 – 1083 .
- Wang , Y , Koopmans , BN and Pohl , C . 1995 . The (1995) flood in the Netherlands monitored from space–a multisensor approach . International Journal of Remote Sensing , 16 : 2735 – 2739 .
- Yesou , H . 1993 . Merging Seasat and SPOT imagery for the study of geologic structures in a temperate agricultural region . Remote Sensing of Environment , 43 : 265 – 280 .
- Zeng,Y., et al., 2010. Image fusion for land cover change detection. International Journal of Image and Data Fusion (accepted)