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Remote Sensing Signatures Extraction for Hydrological Resources Management Applications
(Institute of Electrical and Electronics Engineers, 2016)
Detection of defoliation injury in peanut with hyperspectral proximal remote sensing
(2020-11-02)
Remote sensing can be applied to optimize efficiency in pest detection, as an insect sampling tool. This efficiency can result in more precise recommendations for decision making in pest management. Pest detection with ...
An incongruence-based anomaly detection strategy for analyzing water pollution in images from remote sensing
(2020-01-01)
The potential applications of computational tools, such as anomaly detection and incongruence, for analyzing data attract much attention from the scientific research community. However, there remains a need for more studies ...
Aggregation of Descriptive Regularization Methods with Hardware/Software Co-Design for Remote Sensing Imaging
(Nova Science Publishers, 2016)
Editorial for the special issue "remote sensing in coastal zone monitoring and management-how can remote sensing challenge the broad spectrum of temporal and spatial scales in coastal zone dynamic?"
(MDPI, 2019-05)
Coastal zones are sensitive areas responding at various scales (events to long-term trends) where the monitoring and management of physico-chemical, biological, morphological processes, and fluxes are highly challenging. ...
Statistical evaluation and analysis of road extraction methodologies using a unique dataset from remote sensing
(2018-04-01)
In the scientific literature, multiple studies address the application of road extraction methodologies to a particular cartographic dataset. However, it is difficult for any study to perform a more reliable comparison ...
Glint removal assessment to estimate the remote sensing reflectance in inland waters withwidely differing optical Properties
(2018-10-01)
The quality control of remote sensing reflectance (Rrs) is a challenging task in remote sensing applications, mainly in the retrieval of accurate in situ measurements carried out in optically complex aquatic systems. One ...
Intelligent Processing of Remote Sensing Imagery for Decision Support in Environmental Resource Management: A Neural Computing Paradigm
(Information Resources Management Association, 2016)