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The method has been implemented on two images taken by the TM sensor.
The phenomena are clearly observed on two images of Landsat/TM acquired at almost the same day of the year.
On two images from 1984 and 1999, nine information categories (secondary succession, mangrove, irrigated and temporary agriculture, dry forest, bare substratum, lagoons, shrimp ponds, and villages) were evaluated after supervised classification and digitisation processes.
Based on two images with different zone axis orientations, the plane's orientation is (0kl), most likely (013) or (014).
Observing this, this paper proposes utilizing global information and descriptors to establish keypoint mappings on two images between which the misalignment can be accounted for by similarity transformations.
We have analyzed the time distribution of the phases of the proposed algorithm on two images with a resulting image size of 640 × 640 × 128 voxels.
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The proposed method is evaluated on two image datasets.
In our experiments, we illustrate the benefits of our method on two image segmentation tasks.
We computed Streetscore using a regression model based on two image features: GIST and texton maps, obtained from pixels of two object categories ground (containing streets and sidewalks) and buildings.
The performance is evaluated on two image datasets.
Empirical retrieval results are presented on two image-collections COREL and keyframes from TRECVID.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com