Results 91 to 100 of about 223,998 (212)
ABSTRACT As a crucial puzzle piece of deep space exploration, exploring small bodies can provide significant scientific insights and valuable mineral resources. Unlike missions to the Moon and Mars, small‐body missions pose distinct technical challenges, including communication delays, weak gravity, and uncertain environments. This paper reviews a full
Xin Zhang +3 more
wiley +1 more source
Nonlinear unmixing of hyperspectral images: Models and algorithms [PDF]
When considering the problem of unmixing hyperspectral images, most of the literature in the geoscience and image processing areas relies on the widely used linear mixing model (LMM).
McLaughlin, Stephen; id_orcid +14 more
core +1 more source
ABSTRACT Grass mowing is one of the most resource‐consuming activities in green maintenance, whether in private areas such as home gardens or in public spaces like urban parks. In recent years, concerns related to climate change, human health, and sustainability have become increasingly prominent in green maintenance, leading manufacturers and industry
Andrea Palladini +3 more
wiley +1 more source
Full waveform hyperspectral LiDAR for terrestrial laser scanning
We present the design of a full waveform hyperspectral light detection and ranging (LiDAR) and the first demonstrations of its applications in remote sensing. The novel instrument produces a 3D point cloud with spectral backscattered reflectance data. This concept has a significant impact on remote sensing and other fields where target 3D detection and
Teemu, Hakala +3 more
openaire +2 more sources
Data quality analysis after hyperspectral LiDAR sequentially mapping trees [PDF]
Light detection and ranging (LiDAR), as an innovative remote sensing tool, not only captures target reflectance but also provides its morphological parameters.
S. Dong, Y. Lin
doaj +1 more source
Abstract With the advancement of remote sensing technology, the accuracy of satellite remote sensing data has continuously improved, and the precision of large‐scale soil and water conservation monitoring has steadily increased. However, owing to differences in sensor acquisition and processing methods, monitoring data obtained through various ...
Wenxiang Liu +4 more
wiley +1 more source
Our objective is to identify and map individuals of nine tree species in a Hawaiian lowland tropical forest by comparing the performance of a variety of semi-supervised classifiers.
Gregory P. Asner, Jean-Baptiste Féret
doaj +1 more source
Cell‐based crop phenotyping for future climates
Flow‐chart diagram illustrating the proposed pathway for improving the throughput of fluorescence imaging‐based phenotyping by using robotics and machine learning (ML) approaches. Summary Abiotic stress tolerance has been significantly weakened in modern crops during the domestication process.
Sergey Shabala +5 more
wiley +1 more source
Residual component analysis of hyperspectral images - Application to joint nonlinear unmixing and nonlinearity detection [PDF]
This paper presents a nonlinear mixing model for joint hyperspectral image unmixing and nonlinearity detection. The proposed model assumes that the pixel reflectances are linear combinations of known pure spectral components corrupted by an additional ...
Altmann, Yoann +10 more
core +1 more source
Classification techniques for hyperspectral remote sensing [PDF]
This study concerns with classification techniques in high dimensional space such as that of Hyperspectral Imaging (HSI) data sets, with objectives of understanding the strength and weakness of various classifiers and at the same time to study how ...
Kam, Firmin
core +2 more sources

