Results 51 to 60 of about 1,605,385 (193)
Identifying Building Rooftops in Hyperspectral Imagery Using CNN With Pure Pixel Index
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021 Deep learning and traditional machine learning algorithms have been widely applied to enhance the classification accuracy in remote sensing images. However, due to the variety and changeability of buildings, identifying building rooftops based on remote ...
Yao Li +5 more
doaj +1 more source
Joint Bayesian Endmember Extraction and Linear Unmixing for Hyperspectral Imagery [PDF]
, 2009 This paper studies a fully Bayesian algorithm for endmember extraction and abundance estimation for hyperspectral imagery. Each pixel of the hyperspectral image is decomposed as a linear combination of pure endmember spectra following the linear mixing ...
Moussaoui, Saïd +10 more
core +1 more source
Advanced Intelligent Systems, EarlyView.As food insecurity and global food demands surge, artificial intelligence (AI)‐based technologies offer promising opportunities to reduce food loss and waste. In this perspective, current AI adoption across the food supply chain is assessed using various academic, industry, and policy sources.
Akansha Prasad +5 more
wiley +1 more source
Remote Sensing, 2020 The purpose of this research was to develop a state of science synthesis of remote sensing technologies that could be used to track changes in Great Lakes coastal vegetation for the Great Lakes-St. Lawrence River Adaptive Management (GLAM) Committee. The
Lori White +3 more
doaj +1 more source
Remote Sensing to Characterize River Floodplain Structure and Function
Remote Sensing, 2022 Advancing understanding of the complexities and expansive spatial scales of river ecology can be enhanced through the application of remote sensing. We obtained satellite (Quickbird) and airborne (LIDAR, hyperspectral, multispectral, and thermal) imagery
F. Richard Hauer +2 more
doaj +1 more source
American Journal of Botany, EarlyView.Abstract Premise The southwestern United States is at the forefront of nonnative Phragmites australis subsp. australis expansion. Native Phragmites australis subsp. americanus, likely in decline in North America, is ecologically and culturally important and of conservation interest. In the greater Grand Canyon region, the Glen Canyon Dam led to loss of
Emily C. Palmquist +6 more
wiley +1 more source
Prediction and mapping of tobacco yield with fresh leaf mass using hyperspectral sensing data
Smart Agricultural TechnologyTobacco yield is important for agricultural management and policy making. Hyperspectral remote sensing has advantages in predicting and mapping crop yield, providing both yield values and the spatial distribution of yield.
Junying Li +6 more
doaj +1 more source
Applications in Plant Sciences, EarlyView.Abstract Premise Road verges function as refuges for semi‐natural species, but they can also facilitate the spread of non‐native plants such as Lupinus polyphyllus. Unmanned aerial vehicle (UAV)–based remote sensing is a promising tool for mapping these species; however, its application in roadside contexts remains limited.
Elin L. Blomqvist +3 more
wiley +1 more source
FlexMat, EarlyView.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
Hyperspectral Investigation of an Abandoned Waste Mining Site: The Case of Sidi Bou Azzouz (Morocco)
Remote SensingThe increasing demand for critical raw materials (CRMs), driven by global energy transition, underscores the need for innovative approaches to identify secondary resources, such as mining residues.
Daniela Guglietta +8 more
doaj +1 more source