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Yuan, Xiaotian (author), Jia, Li (author), Menenti, M. (author), Zhou, J. (author), Chen, Qiting (author)
Observing and understanding changes in Africa is a hotspot in global ecological environmental research since the early 1970s. As possible causes of environmental degradation, frequent droughts and human activities attracted wide attention. Remote sensing of nighttime light provides an effective way to map human activities and assess their...
journal article 2019
document
Hosseini Aria, S.E. (author), Menenti, M. (author), Gorte, B.G.H. (author)
Hyperspectral images may be applied to classify objects in a scene. The redundancy in hyperspectral data implies that fewer spectral features might be sufficient for discriminating the objects captured in a scene. The availability of labeled classes of several areas in a scene paves the way for a supervised dimensionality reduction, i.e., using...
journal article 2017
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Shang, H. (author), Jia, L. (author), Menenti, M. (author)
Daily time series of microwave radiometer data obtained in one-orbit direction are full of observation gaps due to satellite configuration and errors from spatial sampling. Such time series carry information about the surface signal including surface emittance and vegetation attenuation, and the atmospheric signal including atmosphere...
journal article 2016
document
Sirmacek, B. (author), Lindenbergh, R.C. (author), Menenti, M. (author)
Fusion of 3D airborne laser (LIDAR) data and terrestrial optical imagery can be applied in 3D urban modeling and model up-dating. The most challenging aspect of the fusion procedure is registering the terrestrial optical images on the LIDAR point clouds. In this article, we propose an approach for registering these two different data from...
conference paper 2013
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