Results 61 to 70 of about 1,615,368 (250)
Implementation strategies for hyperspectral unmixing using Bayesian source separation. [PDF]
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
core +1 more source
ABSTRACT We investigated the Písečný vrch (Czech Republic), a site exploited for quartz mining in both prehistoric times and the 20th century. Due to their morphological similarity across all mining periods, the differentiation between pits with archaeological potential and recent ones is challenging.
Jan Fišer +5 more
wiley +1 more source
Validation and calibration of remote sensing data products on test site DEMMIN. [PDF]
One of the main research objectives of the working group Thematic Processors and Validation (TPV) of the Remote Sensing Data Centre (DLR-DFD) is the automation of remote sensing data processing.
Fichtelmann, Bernd +7 more
core
Investigating Pompeii Subsoil Using Geomatics and Geophysics Merged Analyses
ABSTRACT The archaeological site of Pompeii represents an exceptional context for the application of non‐invasive and integrated investigation methods aimed at enhancing the understanding of both exposed and buried remains. This study presents the results of multidisciplinary research conducted in the Palestra Grande site, a large and strategically ...
Valentina Santoro +9 more
wiley +1 more source
Food security is a growing global concern, and accurate crop mapping in major grain-producing regions like China’s Sanjiang Plain—which contributes approximately 7% of national grain output—is essential for agricultural resource management. However, crop
Enyu Zhao +4 more
doaj +1 more source
ISBDD Model for Classification of Hyperspectral Remote Sensing Imagery [PDF]
The diverse density (DD) algorithm was proposed to handle the problem of low classification accuracy when training samples contain interference such as mixed pixels. The DD algorithm can learn a feature vector from training bags, which comprise instances (pixels).
Na Li 0014 +6 more
openaire +6 more sources
This review organizes flexible wearable electronics for cardiovascular monitoring into four interconnected information layers: surface electrophysiology, hemodynamic sensing, vascular imaging, and biofluid biomarker analysis. This framework clarifies how electrical rhythm, vascular loading, structural and flow‐related features, and biochemical states ...
Qiao Chen +5 more
wiley +1 more source
Technique for validating remote sensing products of water quality [PDF]
Remote sensing of water quality is initiated as an additional part of the on going activities of the EAGLE2006 project. Within this context intensive in-situ and airborne measurements campaigns were carried out over the Wolderwijd and Veluwemeer ...
Salama, S. +6 more
core +1 more source
Rethinking Separability Map: A Target-Specified Separability Map for Hyperspectral Target Detection
Separability map (SM) is a widely used visualization tool for hyperspectral anomaly detection. It selects a fixed percentile range of [τSM%,100%-τSM%] and then uses it to construct an anomaly box (ax) and a background ...
Yuchao Yang +7 more
doaj +1 more source
Organic matter is an important constituent of soils that controls many soil functions and is of vital importance for ecosystem services like climate regulation and food security.
Markus Steffens +3 more
doaj +1 more source

