Automatic radiometric normalization of multitemporal satellite imagery with the iteratively re-weighted MAD transformation
نویسندگان
چکیده
A recently proposed method for automatic radiometric normalization of multiand hyperspectral imagery based on the invariance property of the Multivariate Alteration Detection (MAD) transformation and orthogonal linear regression is extended by using an iterative re-weighting scheme involving no-change probabilities. The procedure is first investigated with partly artificial data and then applied to multitemporal, multispectral satellite imagery. Substantial improvement over the previous method is obtained for scenes which exhibit a high proportion of change. © 2007 Elsevier Inc. All rights reserved.
منابع مشابه
Automatic radiometric normalization of multitemporal satellite imagery
The linear scale invariance of the multivariate alteration detection (MAD) transformation is used to obtain invariant pixels for automatic relative radiometric normalization of time series of multispectral data. Normalization by means of ordinary least squares regression method is compared with normalization using orthogonal regression. The procedure is applied to Landsat TM images over Nevada,...
متن کاملRadiometric Normalization of Landsat Etm+ Data for Multitemporal Analysis
The advantages of Remote Sensing for the knowledge of environmental dynamics are widely ascertained by scientific community. Spatial synchronization and temporal resolution of large areas have meaningfully improved quantity and quality of satellite imagery which have assumed an important role in the field of environmental monitoring. Nevertheless, preliminary processing problems of multitempora...
متن کاملAutomatic Relative Radiometric Normalization for Change Detection of Satellite Imagery
Several relative radiometric normalization (RRN) techniques have been proposed till date most of which involve selection of pseudo invariant features whose reflectance are nearly invariant from image to image and are independent of seasonal cycles. Extraction of such points is quiet tedious and human operator has to provide mutual correspondence by choosing easily recognizable and time invarian...
متن کاملComparison of Radiometric Normalization Methods on Landsat Etm+ and Aster Data
Change detection techniques are widely diffused to derive basic information in the analysis of land cover transformations. Some difficulties in multi-date imagery treatment persist in remote sensing applications because of errors due to noise, to environmental conditions and to geometric and radiometric distortions introduced during the acquisition or transmission phases of satellite systems. S...
متن کاملA Method for Unsupervised Change Detection and Automatic Radiometric Normalization in Multispectral Data
Based on canonical correlation analysis the iteratively re-weighted multivariate alteration detection (MAD) method is used to successfully perform unsupervised change detection in bi-temporal Landsat ETM+ images covering an area with villages, woods, agricultural fields and open pit mines in North RhineWestphalia, Germany. A link to an example with ASTER data to detect change with the same meth...
متن کامل