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To conduct appropriate urban planning for a given area, understanding latent urban problems such as excessive concentration of population, aging of residents, and grasping temporal changes in both soc...
This paper presents a methodology for recognizing, identifying and classifying built objects in dense urban areas, using a morphospectral approach applied to VNIR/SWIR hyperspectral image (HySpex). Th...
Automatic building extraction remains an open research area in digital photogrammetry. While many algorithms have been proposed for building extraction, none of them solve the problem completely. This...
With the launch of very high spatial resolution sensors, a good positional quality can be expected from spatial imagery. Furthermore,efficient segmentation algorithms can increase the productivity and...
The recent surge in remotely sensed imagery with multi to hyper spectral cubes has made it very difficult to detect features because of the sheer volume of data. In a sense it is locating the needle i...
In this paper a discussion about the effects of very high resolution (VHR) in both the spatial and the spectral dimensions for urban land cover mapping is proposed. We confirm that VHR spatial sensors...
Remotely-sensed imagery has a demonstrated connection to urban demographic variables. In a previous study, frequency-based contextual counts of cover type classes have been related to census housing v...
Moderate resolution (< 50 m) optical sensors can provide multitemporal imagery of urban vegetation distribution and abundance. Given a rigorous, repeatable and verifiable method for estimating vegetat...
Statistical analysis is a widely used traditional technique for classification and discrimination in remotely sensed images, which supposes that there is only one endmember in an image pixel. Howeve...
This work proposes a framework for increasing the degree of automation of low-resolution satellite images interpretation procedures.Basically, the method starts with an image segmentation which, accor...
Considerable effort has been devoted to large area mapping of impervious surfaces with optical sensors. The most successful examples are those where the majority of the land surface is vegetated and...
This paper reports a practical application of digitally enhanced Landsat Thematic Mapper (TM) and Enhanced Thematic Mapper Plus (ETM+) data coupled with principal component analysis (PCA) and spectr...
APPLICATION OF HYPER-SPECTRAL DATA FOR FOREST STAND MAPPING.

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