Results 61 to 70 of about 223,998 (212)
Unsupervised multi-branch capsule for hyperspectral and LiDAR classification
Ninth Symposium on Novel Photoelectronic Detection Technology and Applications, 2023 10 ...
Xu, Quanfeng, Tang, Yi, She, Yumei
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A 91-Channel Hyperspectral LiDAR for Coal/Rock Classification [PDF]
IEEE Geoscience and Remote Sensing Letters, 2020 During the mining operation, it is a critical task in coal mines to significantly improve the safety by precision coal mining sorting and rock classification from different layers. It implies that a technique for rapidly and accurately classifying coal/rock in-site needs to be investigated and established, which is of significance for improving the ...
Hui Shao +9 more
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Integration of LIDAR and IFSAR for mapping [PDF]
, 2004 LiDAR and IfSAR data is now widely used for a number of applications, particularly those needing a digital elevation model. The data is often complementary to other data such as aerial imagery and high resolution satellite data.
Dowman, I.J.
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Implementation strategies for hyperspectral unmixing using Bayesian source separation. [PDF]
, 2010 Positive Source Separation (BPSS) is a useful unsupervised approach for hyperspectral data unmixing, where numerical non-negativity of spectra and abundances has to be ensured, such in remote sensing. Moreover, it is sensible to impose a sum-to-one (full
Moussaoui, Saïd +11 more
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Remote Sensing in Ecology and Conservation, EarlyView.High‐resolution visible‐light imagery from low‐altitude unmanned aerial vehicles, combined with superpixel segmentation and a Random Forest classifier, provides an efficient and scalable framework for mapping and monitoring crustose coralline algae and reef habitats.
Po‐Chien Lin +2 more
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Remote Sensing in Ecology and Conservation, EarlyView.We demonstrate that high‐resolution multispectral imagery combined with machine learning can accurately predict key biocrust functional indicators, particularly the UV‐protective pigment scytonemin, across dryland ecosystems. Using fine‐scale imagery acquired in the Chihuahuan Desert and Colorado Plateau, we identified spectral bands strongly ...
Raúl Román +8 more
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Remote Sensing, 2012 The decline of biodiversity is one of the major current global issues. Still, there is a widespread lack of information about the spatial distribution of individual species and biodiversity as a whole.
Martin Wegmann +6 more
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Remote Sensing, 2022 Remotely sensed images with low resolution can be effectively used for the large-area monitoring of vegetation restoration, but are unsuitable for accurate small-area monitoring.
Jiajia Tang +5 more
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Integrating large mammalian herbivores into Dynamic Global Vegetation Models: Status and next steps
Functional Ecology, EarlyView.Read the free Plain Language Summary for this article on the Journal blog. Abstract Zoogeochemistry, the study of how animals influence elemental cycling within ecosystems, bridges the fields of zoology, ecology and biogeochemistry. Yet, most terrestrial ecosystem models, especially Dynamic Global Vegetation Models (DGVMs), remain largely plant‐centric
Yue Cheng +10 more
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Geo-spatial Information ScienceRemote sensing using light detection and ranging (LiDAR) and hyperspectral imaging is widely applied in underground exploration for non-contact detection and mapping of subsurface features, particularly in mining environments.
Hyunseob Baik +4 more
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