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Remotely Operated underwater Vehicles (ROVs) play an important role in a number of operations conducted in shallow and deep water (e.g.: exploration, survey, intervention, etc.), in several applicatio...
Building detection in complex scenes is a non-trivial exercise due to building shape variability, irregular terrain, shadows, and occlusion by highly dense vegetation. In this research, we present a g...
AN ACCURACY ADJUSTMENT BY FUSION METHOD WITH GIS DATA AND REMOTE SENSING DATA.
MERGING OF HETEROGENEOUS DATA FOR EMERGENCY MAPPING: DATA INTEGRATION OR DATA FUSION?
PROBLEMS IN THE FUSION OF COMMERCIAL HIGH-RESOLUTION SATELLITE AS WELL AS LANDSAT 7 IMAGES AND INITIAL SOLUTIONS.
DATA FUSION OF LIDAR AND CASI DATA FOR BUILDING DETAILED FOREST INVENTORIES.
Three-dimensional maps are among the first cartographic products to be developed and researched within Computer Assisted Cartography and GIS, because of their direct usefulness in a range of cartograp...
To estimate parameters of large-scale vegetation heterogeneity for the determination of soil heterogeneity a method based on fusion of multisensor image and pointwise ground-truth data is proposed. R...
Optical imagery such as high-resolution panchromatic or multispectral data, and SAR/INSAR data show different information about the imaged objects, and have different advantages and disadvantages when...
Spatial quality and spectral quality are the two important indexes that are used to evaluate the quality of any fused image. Most of the existing methods for this purpose, however, considered only the...
The objective of this study is to propose multiresolution data fusion scheme using multiresolution analysis (MRA).Three techniques compared, respectively based on Haar wavelet basis (HWB), Daubechies ...
Efficient multi-resolution image fusion aims to take advantage of the high spectral resolution of Landsat TM images and high spatial resolution of SPOT panchromatic images simultaneously. This paper p...
This paper demonstrates the applicability of Landsat TM and SAR image fusion for land cover classification in the Brazilian Atlantic forest domain. The Atlantic forest is considered one of the most th...
Hyperspectral image enhancement has been a concern for the remote sensing society for detailed end member detection. Hyperspectral remote sensor collects images in hundreds of narrow, continuous spect...

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