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In the frame of its earth observation missions, CNES created a library called QPEC, and one of its launcher called Medicis. QPEC / Medicis is a sub-pixel two-dimensional stereo matching algorithm that...
The matching accuracy of homonymy points of stereo images is a key point in the development of photogrammetry, which influences the geometrical accuracy of the image products. This paper presents a no...
Sub-pixel matching is one of the key components for image registration and image fusion. Ideally, image matching should allow for offsets in the target image, and for scaling and rotation. Offsets all...
Sub-pixel based digital image classification outputs from coarse spatial resolution remote sensing images can be closer to ground information as compared to hard classification outputs. This has been ...
The most significant breakthrough in remote sensing has been the development of hyperspectral sensors. Due to the spectral resolution limitations of conventional multispectral remote sensing, hyperspe...
Feature matching is to find the pair-wise corresponding features in the reference and sensed images. The features can be an edge, a corner, an end point, a line or a curve, etc. Image matching as the ...
The thermal model proposed by Crisp and Baloga (1990) for active lava flows considers thermal flux as a function of the fractional area of two thermally distinct radiant surfaces. In this model, the l...
Sub-pixel accuracy image registration is needed for many applications. In order to achieve this accuracy, one uses image re-sampling.Since the image interpolation step is performed a high number of ti...
Remotely sensed images often contain a combination of both pure and mixed pixels. Analysis and classification of remotely sensed imagery used to provide information on the spatial pattern of land co...
Statistical based algorithms, like Linear Mixture Model (LMM); Fuzzy Set Theory based algorithms, like Fuzzy c-means (FCM), and Artificial Neural Network (ANN) based classification algorithms have be...
Delineation of overburden dumps by means of remotely sensed multispectral data with moderate spatial resolution (e.g. Landsat TM/ETM+ 30m) is a challenging task. The major difficulties arise from: 1)...
It is found that sub-pixel classifiers for classification of multi-spectral remote sensing data yield a higher accuracy. With this objective, a study has been carried out, where fuzzy set theory base...
The analysis of classified hemispherical images of forest stands is a common method in forestry to determine site-related factors for plants. A segmentation of hemispheric images, followed by an inte...
Laser range data is of high interest in photogrammetry. However, compared to passive imagery, it usually has a lower image resolution, making geometry extraction and modeling challenging. A method t...
Urban development has expanded rapidly in the Las Vegas, Nevada metropolitan area over the last fifty years. Associated with this growth trend has been the transformation of the landscape from natural...

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