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PERFORMANCE EVALUATION FOR AUTOMATIC FEATURE EXTRACTION     feature extraction  performance evaluation  metrics       font style='font-size:12px;'> 2014/12/30
Recent years have seen significant improvements in the performance of automatic cartographic feature extraction (CFE) systems. Early systems, painstakingly tweaked to work in a very limited fashion on...
This work uses the canopy height model (CHM) based workflow for individual tree crown delineation and 3D feature extraction approach (Overwatch Geospatial's proprietary algorithm) for building feature...
Evolutionary computation is used for improved information extraction from high-resolution satellite imagery. The utilization of evolutionary computation is based on stochastic selection of input param...
This paper combine two conventional feature extraction methods (NWFE&NPE) in a novel framework and present a new semi-supervised feature extraction method called Adjusted Semi supervised Discriminant ...
In remote sensing images, the existence of the clouds has a great impact on the image quality and subsequent image processing, as the images covered with clouds contain little useful information. The...
Hyperspectral images, which contain rich and fine spectral information, can be used to identify surface objects and improve land use/cover classification accuracy. Due to the property of high dimensio...
A software tool specifically designed for the extraction of multi-criteria features from image objects is described, as well as an application example. The input data are typic...

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