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Studies based on object-based image analysis (OBIA) representing the paradigm shift in change detection (CD) have achieved remarkable progress in the last decade. Their aim has been developing more in...
Even non-expert human observers sometimes still outperform automatic extraction of man-made objects from remotely sensed data. We conjecture that some of this remarkable capability can be explained by...
Since the launch of high-resolution sensors, the use of satellite images as a major source of spatial information has been the subject of extensive research in a broad range of applications. In partic...
Bridges over water are one of the most important geo-spatial objects and military objects. Automatic recognition and extraction of bridges from remote sensing images is very important and urgent for ...
Nowadays, recognition of oil storage tanks that are crucial targets is vital. Making use of remote sensed images becomes more and more important in the field of targets recognition. In recent twenty ...
In the paper a number of original algorithms implemented as the program system are considered. The algorithms allow to perform the automated forecasting of land use/cover change using time series remo...
This paper proposed a multi-scale segmentation method for remote sensing image based on mathematical morphology. In mathematical morphological operations, opening transform can extract lighter connect...
Raw digital images can not be used as maps because they contain geometric distortions which stem from the image acquisition process. To supply the same geometric integrity as a map, original raw imag...
A sequence of remotely sensed images of an area captures information on the dynamic processes that are occurring in the area, as snapshots in time. At present such sequences can be run as a movie sequ...
This article presents techniques for noise filtering of remotely sensed images based on Multi-resolution Analysis (MRA). Multiresolution techniques provide a coarse-to-fine and scale-invariant decompo...
Super resolution-based spectral unmixing (SRSU) is a recently developed method for spectral unmixing of remotely sensed imagery, but it is too complex to implement for common users who are interested ...
An object-oriented change detection algorithm was proposed and experimented to multi-temporal ALOS remotely sensed images. In contrast with conventional pixel-based algorithms, this approach processe...

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