[PDF] Top 20 A Method for Comparing Real and Simulated Airborne Hyperspectral Imagery

... the real calibration panels and those given the simulated panels, a plot of the standard deviation across these panels does not show a great ...a real imager. Hyperspectral sensors typically ... See full document

... new method, referred to as HFC method, to VD estimation or to determine the number of spectral endmembers in Airborne Visible Infrared Imaging Spectrometer (AVIRIS) ...HFC method, derived from ... See full document

... projection method [77] can be used to identify the wavebands that are the most important predictor variables in the hyperspectral classification of grassland ...177 hyperspectral wavebands that gave ... See full document

... VIS–NIR–SWIR hyperspectral sensors are planned to be launched, including: HISUI from Japan [ 90 ], PRISMA from Italy [ 91 ], and EnMAP from Germany in 2018 [ 92 ]; HYPXIM from France in 2020 [ 93 ]; SHALOM from ... See full document

... parametric method SURF ...photograph- hyperspectral imagery ...photograph-hyperspectral imagery registration is that topographical distortion of aerial photograph in rugged terrain may ... See full document

... the hyperspectral data collected with a pushbroom ...new method to georeference data from pushbroom sensors, which uses SURF and Particle Image Velocimetry to match the pushbroom scan lines to an RGB ... See full document

... from airborne data can not be adequately captured with ...systems. Comparing the endmember sub classes for PV subclass D and E have been used to unmix most of the pixel for EnMAP and both mean spectra of ... See full document

... The imagery enabled the calculation of vegetation and spectral indices related to canopy structure, photosynthetic pigment absorption, the quantification of chlorophyll fluorescence emission, as well as indices ... See full document

... by comparing against in situ measurements of water-leaving reflectance, and the retrieval of in-water optically active components by sampling the concentrations of coloured dissolved organic matter (CDOM), ... See full document

... filtered 3 × 3 results, a corresponding confident p value, the lowest RMSE and also covers a suf ficiently broad spectrum to contain the re- mote sensors bandwidth at the speci fic wavelength. This has been iden- ti fied as ... See full document

... of Hyperspectral sensors mixed pixel ...These hyperspectral images provide good resolution, and the range of spectra will give the ability to identify the chemical species present in the atmosphere of Mars ... See full document

... from hyperspectral data [25]. The HyMap hyperspectral imagery was utilised to characterise and map irrigation-induced soil salinisation, and a mixture-tuned matched filter (MTMF) approach was ... See full document

... processing hyperspectral images in near real-time, it would be possible to provide continuously-updated digital maps that reflect minutes to hours-old infor- mation of the current ground configuration ... See full document

... effective method based on the focus-of-attention features to construct the sample sets for MMI ...registration. Comparing with the random selection, fewer samples are needed without any loss of the ... See full document

... to real world coordinates was accomplished using two ...motion. Imagery was geo- rectiÞed using ERDAS Imagine ...ally, hyperspectral imagery needed to be subset so that pixels with mixed ... See full document

... multispectral imagery by taking nearly continuous measurements over the vis- ible, near infrared (IR)/middle IR regions of the spec- trum at narrow ...of hyperspectral imagery allows unique spectral ... See full document

... Academic Editors: Norbert Pfeifer, Ioannis Gitas and Prasad S. Thenkabail Received: 13 October 2014 / Accepted: 21 January 2015 / Published: 12 February 2015 Abstract: Alkali landscapes hold an extremely fine-scale ... See full document

... corrected airborne or satellite hyperspectral imagery may improve our ability to identify differences in grain weight and quality, the latter by mapping grain protein and N ...of hyperspectral ... See full document

... Inclusion of QC into PAF workflow QL(4,5) position problem attitude problem QL(3) saturated pix QL(4,5) position problem attitude problem QL(3) saturated pix Data descriptors QL(6) Clou[r] ... See full document

... using hyperspectral image data and identified how the performance of bio-optical algorithms depended on which atmospheric correction method was ...using hyperspectral image ... See full document