Use of neighborhood unhomogeneity to detect the edge of hyperspectral spatial stray light region

Zhao, Chunhui; Qi, Bin; Youn, Eunseog; Yin, Guisheng; Nansen, Christian

doi:10.1016/j.ijleo.2013.12.029

Cited by 6 publications

(6 citation statements)

References 9 publications

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“…There are numerous studies describing the underlying optical physics of both radiometric penetration [ 11 , 26 ] and scattering [ 11 , 15 , 16 , 27 ] with respect to their effect on proximal remote sensing data. Lu and Fei (12) provide a comprehensive review of both the optical phenomena and applications of proximal remote sensing in the biomedical field.…”

Section: Discussionmentioning

confidence: 99%

“…The implications of scattering are that the reflectance signals acquired from a given object becomes relative to its proximity to other objects. The intensity and radiometric composition of scattering depends on the radiometric energy source and chemical and physical properties of the objects being imaged [ 15 ]. Scattering is also referred to as lens flare or veiling glare [ 16 ].…”

Section: Introductionmentioning

confidence: 99%

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Penetration and scattering—Two optical phenomena to consider when applying proximal remote sensing technologies to object classifications

Nansen

2018

PLoS ONE

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Proximal remote sensing is being used across a very wide range of research fields and by scientists, who are often without deep theoretical knowledge optical physics; the author of this article falls squarely in that category! This article highlights two optical phenomena, which may greatly influence the quality and robustness of proximal remote sensing: penetration and scattering. Penetration implies that acquired reflectance signals are associated with both physical and chemical properties of target objects from both the surface and internal tissues/structures. Scattering implies that reflectance signals acquired from one point or object are influenced by scattered radiometric energy from neighboring points or objects. Based on a series of laboratory experiments, penetration and scattering were discussed in the context of “robustness” (repeatability) of hyperspectral reflectance data. High robustness implies that it is possible to control imaging conditions and therefore: 1) obtain very similar radiometric signals from inert objects (objects that do not change) over time, and 2) be able to consistently distinguish objects that are otherwise highly similar in appearance (size, shape, and color) and in terms of biochemical composition. It was demonstrated that robustness of hyperspectral reflectance data (40 spectral bands from 385 to 1024 nm) were significantly influenced by penetration and scattering of radiometric energy. In addition, it was demonstrated that the influence of penetration and scattering varied across the examined spectrum. Characterization of how optical phenomena may affect the robustness of reflectance data is important when using proximal remote sensing technologies as tools used to classify engineering and biological objects.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Penetration and scattering—Two optical phenomena to consider when applying proximal remote sensing technologies to object classifications

Nansen

2018

PLoS ONE

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“…Similar to previously published studies (Nansen, 2011, 2012; Nansen et al, 2013a, 2014b; Zhao et al, 2014; Zhang et al, 2015), we used a hyperspectral push broom spectral camera (PIKA II, Resonon Inc., Bozeman, MT, United States). The objective lens had a 35 mm focal length (maximum aperture of F1.4) and was optimized for the visible and NIR spectra.…”

Section: Methodsmentioning

confidence: 99%

Proximal Remote Sensing to Non-destructively Detect and Diagnose Physiological Responses by Host Insect Larvae to Parasitism

Nansen

Strand

2018

Front. Physiol.

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As part of identifying and characterizing physiological responses and adaptations by insects, it is paramount to develop non-destructive techniques to monitor individual insects over time. Such techniques can be used to optimize the timing of when in-depth (i.e., destructive sampling of insect tissue) physiological or molecular analyses should be deployed. In this article, we present evidence that hyperspectral proximal remote sensing can be used effectively in studies of host responses to parasitism. We present time series body reflectance data acquired from individual soybean loopers (Chrysodeixis includens) without parasitism (control) or parasitized by one of two species of parasitic wasps with markedly different life histories: Microplitis demolitor, a solitary larval koinobiont endoparasitoid and Copidosoma floridanum, a polyembryonic (gregarious) egg-larval koinobiont endoparasitoid. Despite considerable temporal variation in reflectance data 1–9 days post-parasitism, the two parasitoids caused uniquely different host body reflectance responses. Based on reflectance data acquired 3–5 days post-parasitism, all three treatments (control larvae, and those parasitized by either M. demolitor or C. floridanum) could be classified with >85 accuracy. We suggest that hyperspectral proximal imaging technologies represent an important frontier in insect physiology, as they are non-invasive and can be used to account for important time scale factors, such as: minutes of exposure or acclimation to abiotic factors, circadian rhythms, and seasonal effects. Although this study is based on data from a host-parasitoid system, results may be of broad relevance to insect physiologists. Described approaches provide a non-invasive and rapid method that can provide insights into when to destructively sample tissue for more detailed mechanistic studies of physiological responses to stressors and environmental conditions.

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“…Host plant leaves were sampled and subjected to hyperspectral imaging. Similar to previously published studies [43][44][45][46][47] , we used a hyperspectral push broom spectral camera (PIKA XC, Resonon Inc., Bozeman, MT, USA). The objective lens had a 35 mm focal length (maximum aperture of F1.4) and was optimized for the visible and NIR spectra.…”

Section: Root-associated Entomopathogenic Fungal Endophyte Culture Tmentioning

confidence: 99%

Root-associated entomopathogenic fungi manipulate host plants to attract herbivorous insects

Cotes

Thöming

Amaya-Gómez

et al. 2020

Sci Rep

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Root-associated entomopathogenic fungi (R-AEF) indirectly influence herbivorous insect performance. However, host plant-R-AEF interactions and R-AEF as biological control agents have been studied independently and without much attention to the potential synergy between these functional traits. In this study, we evaluated behavioral responses of cabbage root flies [Delia radicum L. (Diptera: Anthomyiidae)] to a host plant (white cabbage cabbage Brassica oleracea var. capitata f. alba cv. Castello L.) with and without the R-AEF Metarhizium brunneum (Petch). We performed experiments on leaf reflectance, phytohormonal composition and host plant location behavior (behavioral processes that contribute to locating and selecting an adequate host plant in the environment). Compared to control host plants, R-AEF inoculation caused, on one hand, a decrease in reflectance of host plant leaves in the near-infrared portion of the radiometric spectrum and, on the other, an increase in the production of jasmonic, (+)-7-iso-jasmonoyl-l-isoleucine and salicylic acid in certain parts of the host plant. Under both greenhouse and field settings, landing and oviposition by cabbage root fly females were positively affected by R-AEF inoculation of host plants. The fungal-induced change in leaf reflectance may have altered visual cues used by the cabbage root flies in their host plant selection. This is the first study providing evidence for the hypothesis that R-AEF manipulate the suitability of their host plant to attract herbivorous insects.

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Use of neighborhood unhomogeneity to detect the edge of hyperspectral spatial stray light region

Cited by 6 publications

References 9 publications

Penetration and scattering—Two optical phenomena to consider when applying proximal remote sensing technologies to object classifications

Penetration and scattering—Two optical phenomena to consider when applying proximal remote sensing technologies to object classifications

Proximal Remote Sensing to Non-destructively Detect and Diagnose Physiological Responses by Host Insect Larvae to Parasitism

Root-associated entomopathogenic fungi manipulate host plants to attract herbivorous insects

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