Correction of atmospheric and topographic effects for high spatial resolution satellite imagery

被引：161
作者：
Richter, R
机构：
[1] DLR-German Aerospace Research Establishment, Remote Sensing Data Center, Wessling
来源：
INTERNATIONAL JOURNAL OF REMOTE SENSING | 1997年 / 18卷 / 05期
关键词：
D O I：
10.1080/014311697218593
中图分类号：
TP7 [遥感技术];
学科分类号：
081102 ; 0816 ; 081602 ; 083002 ; 1404 ;
摘要：
A method for the combined correction of atmospheric and topographic effects has been developed. It accounts for horizontally varying atmospheric conditions and also includes the height dependence of the atmospheric radiance and transmittance functions to simulate the simplified properties of a three-dimensional atmosphere. A Digital Elevation Model (DEM) is used to obtain information about surface elevation, slope, and orientation. Based on the Lambertian assumption the surface reflectance in rugged terrain is calculated. The method is restricted to high spatial resolution satellite sensors like Landsat TM and SPOT HRV, since some simplifying assumptions are being made to reduce the required image processing time. The possibilities and limitations of the method are critically discussed.
引用
收藏
页码：1099 / 1111
页数：13
相关论文
共 56 条
[1]  
Anderson GP, 1988, AFGLTR880177
[2]  
Anding D., 1970, Remote Sensing of Environment, V1, P217, DOI 10.1016/S0034-4257(70)80002-5
[3]   DUAL CHANNEL SATELLITE MEASUREMENTS OF SEA-SURFACE TEMPERATURE [J].
BARTON, IJ .
QUARTERLY JOURNAL OF THE ROYAL METEOROLOGICAL SOCIETY, 1983, 109 (460) :365-378
[4]  
Berk A., 1989, GLTR890122
[5]   MOMS-02/D2 - FIRST RESULTS AND FUTURE APPLICATIONS [J].
BODECHTEL, J ;
LEI, Q ;
LOERCHER, G ;
KAUFMANN, H ;
BERGER, M ;
KOCH, B .
INTERNATIONAL JOURNAL OF REMOTE SENSING, 1994, 15 (13) :2513-2520
[6]   NONLINEAR SPECTRAL MIXING MODELS FOR VEGETATIVE AND SOIL SURFACES [J].
BOREL, CC ;
GERSTL, SAW .
REMOTE SENSING OF ENVIRONMENT, 1994, 47 (03) :403-416
[7]   DETERMINATION OF INFRARED EMISSIVITIES OF TERRESTRIAL SURFACES [J].
BUETTNER, KJ ;
KERN, CD .
JOURNAL OF GEOPHYSICAL RESEARCH, 1965, 70 (06) :1329-+
[8]  
CIVCO DL, 1989, PHOTOGRAMM ENG REM S, V55, P1303
[9]   IMPROVEMENT IN MAXIMUM-LIKELIHOOD CLASSIFICATION PERFORMANCE ON HIGHLY RUGGED TERRAIN USING PRINCIPAL COMPONENTS-ANALYSIS [J].
CONESE, C ;
MARACCHI, G ;
MASELLI, F .
INTERNATIONAL JOURNAL OF REMOTE SENSING, 1993, 14 (07) :1371-1382
[10]   FOREST CLASSIFICATION BY PRINCIPAL COMPONENT ANALYSES OF TM DATA [J].
CONESE, C ;
MARACCHI, G ;
MIGLIETTA, F ;
MASELLI, F ;
SACCO, VM .
INTERNATIONAL JOURNAL OF REMOTE SENSING, 1988, 9 (10-11) :1597-1612
123456