GIS. (Thermatic Mapper) TM ENVISAT ASAR. GIS

Transcription

1 Vol. 6, No. 3, Atumn 2014 Iranian Remote Sensing & * (Thermatic Mapper) TM ENVISAT ASAR * rzhosseinkhani@gmail.com

2 Hill et al., 2005 leve et al., 2008 Debeir et al., 2002 Hill et al., 2005 SAR Debeir et al., 2002 leve et al., 2008 TM leve et al., Synthetic Apertur 2. Minimum Distance 3. Maximum Likelihood 4. Digital Elevation Model

3 ENVISAT ASAR Gong et Bruzzone et al., 1997 al., 1996 Janssen et al., 1990 Haralick et al., 1973 olby et al., 1991 IL Riano et al., 2003 Shahid et al., Gaussian Distribution 2. o-occurence 3. Illumination

4 Az Z IL S As SS cosi LT osine Meyer et al., 1993 (a) b BRDF Sandmeierand et al., 1997 BRDF osine Meyer et al., 1993 Kk SS+ osine Smith et al., 1980 K SS K 1. osine 2. Sun anopy Sensor 3. Bidirectional Reflectance Distribution Function 4. Minnaert 5. Teillet K K

5 Soenen et al., 2005 Reeder, 2002 SS SD -orrection SD Meyer et al., 1993; Riano et ivco, 1989; olby osine Teillet et al., 1991 al., 2003 SS et al., 1982 Meyer et al., 1993; onese et al., 1993 DI SD M DI Gao et al., 2009 ivco, 1989 LT LH IL LT Meyer et al., 1993 IL IL 1. Under correction 2. Over correction 3. Despersion Index LH

6 Parent Offspring Landsat TM 1. Path 2. Row

7 SRTM Landsat TM ENVISAT ASAR Landsat VV ENVISAT ASAR 1. Incidence Angle 2. Speckle Noise 3. Next ESA SAR Toolbox 4. Shuttle Radar Topography Mission 5. Range Doppler Terain orrection NEST 4

8 SS USG SS 1. Dark Object Subtraction

9 SS SS SS SS DI

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11 SS SS shape file ASTER SS SS

12

13 SS Benediktsson et 1. Feature Level Fusion

14 al., 2003 Benediktsson et al., 2003 Layer Stacking GLM Tournament 1. Feature Extraction 2. Gray Level o-occurance Matrix

15 1. Skewness 2. Kurtosis

16

17 RDVI NDVI Aspect Slope Slope NDVI Aspect NDVI RDVI NDVI RDVI

18 NDVI

19

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21 olby, J.D., 1991, Topographic Normalization in Rugged Terrain, Photogramm.Eng. Remote Sens., Vol. 57, PP onese,., Gilabert, M.A., Maselli, F. and Bottai, L., 1993, Topographic Normalization of TM Scenes Through the Use of an NDVI Atmospheric orrection Method and Digital Terrain Models, Photogramm. Eng. Remote Sensing, 59, PP Debeir, O., Van Den Steen, I., Latinne, P., Ham P.V. and Wolff, E., 2002, Textural and ontextual Land over lassification Using Single and Multiple lassifier Systems, Photogrammetric Engineering & Remote Sensing, 48(6), PP Benediktsson, J. and Sveinsson, J., 2003, Gao, Y. and Wanchang, Z., 2009, lassification and Topographic orrection of Landsat-7 ETM+ Imagery in the Yangjia River Watershed, The Influence of Resolution. Sensors 9, doi: /s Data from Multisources Using Evidential Reasoning and Artificial Neural-network for Remote Sensing Data lassification Based on onsensus and Pruning, IEEE Transactions on Geoscience and Remote Sensing, 41(4 Part 2), PP Bruzzone, L., onese,., Maselli, F., Roli, F. and Gong, P., 1996, Integrated Analysis of Spatial Techniques Multisource Geological Mapping, Photogrammetric Engineering & Remote Sensing, 62, PP , Multi-source lassification of omplex Rural Areas by Statistical and Neuralnetwork Approaches, Photogrammetric Engineering & Remote Sensing, 63(5), PP ivco, D.L., 1989, Topographic Normalization of Landsat Thematic Mapper Digital Haralick, R.M., Shanmugam, K. and Dinstein, I., 1973, Textural Features for Image Imagery, Photogramm. Eng. Remote Sens., Vol. 55, PP , IEEE Trans. System, Man leve,., Kelly, M., Kearns, F.R., Moritz, M. and ybernet., 3, PP , lassification of the Wildland urban Janssen, L.F., Jaars, J. and van der Linder, E., 1990, Interface: A omparison of Pixel and Integrating Topographic Data with Remote Object-based lassifications Using High- Sensing for Land-over lassification, Resolution Aerial Photography omputers, Photogrammetric Engineering & Remote Environment Sensing, 48(l), PP PP and Urban Systems, 32.

22 Kabir, Sh., Dong-hen, H. and Rivard, P., 2006, Topographic orrections in Landsat TM Urban lassification of High Resolution Data for Mapping Vegetation Types, IEEE IKONOS Trans. Imagery Using Texture, International onference on omputing and Geosci. Remote Sens, 41, PP Decision Making in ivil and Building. Sandmeierand, S.R. and Itten, K.I.A., 1997, Montréal. Physically-based Model to orrect Meyer, P., Itten, K.I., Kellenbenberger, T., Atmospheric and Illumination Effects in Sandmeier, S. and Sandmeier, R., 1993, Optical Satellite Data of Rugged Terrain, Radiometric of IEEE Trans. Geosci. Remote Sensing, on Vol. 35, PP Topographically Landsat TM Environment, orrections Induced Effects Data in an Alpine ISPRS J. Photogramm. Smith, J.A., Lin, T.L. and Ranson, K.J., 1980, The Lambertian Assumption and Landsat Remote Sens., Vol. 48, PP Data, Photogramm. Eng. Remote Sensing, Michael, J., Hill,., Ticehurst, J., Jong-Sen Lee, 46, PP M., Grunes, R., Graham E.D., and Henry, D., 2005, Integration of Optical and Radar lassifications for Mapping Soenen, S.A., Peddle, D.R. and oburn,.a., 2005, SS+, A Modified Sun-canopy- Pasture Type in Western Australia, IEEE sensor Topographic orrection in Transactions on Geoscience and Remote Forested Terrain, IEEE Transactions on Sensing, Vol. 43, No. 7. Geoscience and Remote Sensing 43, PP Reeder, D.H., 2002, Topographic orrection of Satellite Images Theory and Application. Teillet, P.M., Guindon, B. and Goodenough, Ph.D. Dissertation, Dartmouth ollege: D.G., Hanover, New Hampshire, PP orrection Data, Riano, D., huvieco, E., Salas, J. and Aguado, I., 2003, Assessment of Different 1982, On of an. PP the Slope-aspect Multispectral J. Remote Scanner Sens., 8,