BUILDING CHANGE DETECTION IN VERY HIGH RESOLUTION SATELLITE STEREO IMAGE TIME SERIES [PDF]
There is an increasing demand for robust methods on urban sprawl monitoring. The steadily increasing number of high resolution and multi-view sensors allows producing datasets with high temporal and spatial resolution; however, less effort has been ...
J. Tian, R. Qin, D. Cerra, P. Reinartz
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A fast and accurate basis pursuit denoising algorithm with application to super-resolving tomographic SAR [PDF]
$L_1$ regularization is used for finding sparse solutions to an underdetermined linear system. As sparse signals are widely expected in remote sensing, this type of regularization scheme and its extensions have been widely employed in many remote sensing
Bamler, Richard +3 more
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The detection performance of small objects in remote sensing images is not satisfactory compared to large objects, especially in low-resolution and noisy images.
Chao, Dennis +4 more
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Deep learning is a popular topic in machine learning and artificial intelligence research and has achieved remarkable results in various fields. In geological remote sensing, mineral mapping is an appealing application of hyperspectral remote sensing for
Chuan Zhang +5 more
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Remote sensing image fusion via compressive sensing [PDF]
Abstract In this paper, we propose a compressive sensing-based method to pan-sharpen the low-resolution multispectral (LRM) data, with the help of high-resolution panchromatic (HRP) data. In order to successfully implement the compressive sensing theory in pan-sharpening, two requirements should be satisfied: (i) forming a comprehensive dictionary in
Morteza Ghahremani +3 more
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Towards the development of a smart flying sensor: illustration in the field of precision agriculture [PDF]
Sensing is an important element to quantify productivity, product quality and to make decisions. Applications, such as mapping, surveillance, exploration and precision agriculture, require a reliable platform for remote sensing.
Copot, Cosmin +3 more
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A double transformer residual super-resolution network for cross-resolution person re-identification
Cross-resolution person re-identification is a challenging problem in the field of person re-identification. In order to solve the problem of resolution mismatch, many studies introduce super-resolution into person re-identification tasks.
Fuzhen Zhu, Ce Sun, Chen Wang, Bing Zhu
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Context guided belief propagation for remote sensing image classification. [PDF]
We propose a context guided belief propagation (BP) algorithm to perform high spatial resolution multispectral imagery (HSRMI) classification efficiently utilizing superpixel representation.
An, Le, Bhanu, Bir, Mei, Tiancan
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COMBINATION OF VIRTUAL TOURS, 3D MODEL AND DIGITAL DATA IN A 3D ARCHAEOLOGICAL KNOWLEDGE AND INFORMATION SYSTEM [PDF]
The site of the Engelbourg ruined castle in Thann, Alsace, France, has been for some years the object of all the attention of the city, which is the owner, and also of partners like historians and archaeologists who are in charge of its study.
M. Koehl, N. Brigand
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EVALUATING UNIFORM MANIFOLD APPROXIMATION AND PROJECTION FOR DIMENSION REDUCTION AND VISUALIZATION OF POLINSAR FEATURES [PDF]
In this paper, the nonlinear dimension reduction algorithm Uniform Manifold Approximation and Projection (UMAP) is investigated to visualize information contained in high dimensional feature representations of Polarimetric Interferometric Synthetic ...
S. Schmitz +5 more
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