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Quality Assessment for Multi-Sensor Multi-Date Image Fusion
Image Processing Sharpening Image Understanding Fusion Environmental Monitoring Colour
2015/12/16
Generally, image fusion methods are classified into three levels: pixel level (iconic), feature level (symbolic) and knowledge or decision level. In this paper we focus on iconic techniques for image ...
Fusion of High-Resolution Aerial Imagery and LIDAR Data for Object-oriented Urban Land-cover Classification Based on SVM
Aerial imagery Light Detection and Ranging Image Fusion Object-oriented Classification Land-cover Classification Support Vector Machine
2015/10/12
We present a new object-oriented land cover classification method based on Support Vector Machine (SVM) by fusing spectral and
textural information of High-Resolution (HR) aerial imagery and Digital...
Fusion of MODIS and Radarsat Data for Crop Type Classification — an Initial Study
Image Fusion Image Classification Pixel-Based Object-Oriented MODIS Radarsat
2015/10/12
Agricultural land use mapping and change detection are important for environmental assessment and crop yield estimation. An
effective mapping and change detection of crop land use requires large ima...
Multipolarimetric SAR image change detection based on multiscale feature-level fusion
Multipolarimetric SAR Change Detection NSCT Fusion
2015/7/27
Many methodologies of change detection have been discussed in the literature, but most of them are tested on only optical images or traditional synthetic-aperture radar (SAR) images. Few studies have ...
IMAGE FUSION USING WAVELET TRANSFORM.