Wavelet-based Fusion of Optical and Sar Image Data over Urban Area
نویسنده
چکیده
In this paper, a fusion method is proposed, which provides an integrated map of an urban area starting from co-registered optical (panchromatic and multispectral) and SAR images. Classical Intensity-Hue-Saturation (IHS) transform based methods, or Principal Component Substitution (PCS) approaches do not take into account the contextual spatial information, and do not exploit conveniently the complementary characteristics of passive optical and radar data: they may provide interesting visual representations, but they do not guarantee definite advantages to a subsequent classification phase. The proposed method aims to generate an integrated map which selects specific information from SAR data to be injected into the optical data. This choice is application-dependent: in this paper, information related to buildings from the SAR image has been selected, since SAR point-targets strongly characterize urban areas.
منابع مشابه
Change Detection in Urban Area Using Decision Level Fusion of Change Maps Extracted from Optic and SAR Images
The last few decades witnessed high urban growth rates in many countries. Urban growth can be mapped and measured by using remote sensing data and techniques along with several statistical measures. The purpose of this research is to detect the urban change that is used for urban planning. Change detection using remote sensing images can be classified into three methods: algebra-based, transfor...
متن کاملClassification of High Resolution Optical and Sar Fusion Image Using Fuzzy Knowledge and Object-oriented Paradigm
The fusion image of IKONOS optical data and COSMO-SkyMed SAR image is used as the classifier inputs for land cover classification under an object-oriented paradigm. Firstly, Frost filter is selected to reduce speckle noises of SAR image. Three popular methods, including IHS, PCA and wavelet transform, are applied to fuse high resolution optical and SAR images. Comparing with other fusion method...
متن کاملSAR and Optical Images Fusion Algorithm Based on Wavelet Transform
Multisensor data fusion combines data and information from multiple sensors to achieve improved accuracies and better inference about the environment than single sensor alone. This paper presents a technique for fusing the Synthetic Aperture Radar (SAR) image and optical image at same scene using wavelet transform (WT) algorithm. Before fused the two images, a image registration affine transfor...
متن کاملDetecting and analysing "urban villages" in the Pearl River delta using multi-source remote sensing data
‘Urban villages’ is the Chinese version of informal settlement. It is a unique phenomenon that comprises mainly low-rise and congested, often illegal buildings surrounded by new constructions and high-rise buildings. Due to a lack of an unambiguous definition allowing for a spatial delineation of such areas, this article investigates a joint use of high-resolution optical and SAR satellite data...
متن کاملBuilding Height Retrieval in Urban Areas in the Framework of High Resolution Optical and Sar Data Fusion
During the last years, new approaches, exploring the high detail level characterizing high-resolution optical and SAR images provided by current spaceborne sensors, have been proposed for object detection and reconstruction in urban areas. Especially, challenges are born in the fields of building extraction and building height estimation for 3D reconstruction of urban scenes. Some technics such...
متن کامل