Blar i Fakultet for informasjonsteknologi og elektroteknikk (IE) på tidsskrift "Workshop on Hyperspectral Image and Signal Processing, Evolution in Remote Sensing"
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A Lightweight Payload for Hyperspectral Remote Sensing using Small UAVS
(Journal article; Peer reviewed, 2018)In this paper we describe a lightweight hyperspectral imaging payload consisting of a push-broom imager, GPS and IMU sensors as well as data synchronization and acquisition systems. The payload is developed in a modular ... -
Accelerating support vector machines for remote platforms by increasing sparsity
(Peer reviewed; Journal article, 2022)The support vector machine (SVM) classification algorithm often achieves quite high accuracy on hyperspectral images, even when trained on small amounts of data. However, SVMs can still be computationally expensive relative ... -
Accuracy of a slew maneuver for the HYPSO-1 hyperspectral imaging satellite — in-orbit results
(Peer reviewed; Journal article, 2023)In this paper, the accuracy of a slew maneuver performed by the HYPSO-1 satellite is analysed based on the data received during the satellite’s first months in orbit. The slew maneuver, during which the satellite turns ... -
Agile smallsat operation tool-chain development: Hypso-1 hyperspectral earth observation experiences
(Peer reviewed; Journal article, 2023)Satellite operations is important for a successful mission, but can be time consuming for inexperienced operators in new small satellite projects. We present a method for the continuous development of an earth observation ... -
Campaign For Hyperspectral Data Validation In North Atlantic Coastal Waters
(Peer reviewed; Journal article, 2022)The high photosynthetic productivity of the Mausund bank on the coast of mid-Norway has given the area important economic and ecologic value. Monitoring chlorophyll-a (chl-a) production can assist in managing the local ... -
A closer look at a spectrographic wavelength calibration
(Peer reviewed; Journal article, 2022)Methods to spectrally calibrate imaging spectrographs, also known as Hyperspectral Imagers (HSIs), are common and known, but few look into how well the wavelength calibration performs. When building hyperspectral instruments ... -
Comparing Filters for Correction of Second Order Diffraction Effects in Hyperspectral Imagers
(Journal article; Peer reviewed, 2023)Second order diffraction effects often occur in hyperspectral instruments with dispersive elements. These second (and higher) order diffractions are typically unwanted, and should therefore be removed. One way of achieving ... -
Estimating the Color Palette of Ortelius' Atlas: A case study of hyperspectral imaging for rapid pigment screening
(Journal article; Peer reviewed, 2023)The map collection, Kartsenteret, of the National Library of Norway is conducting a pilot study of its collection of approximately 150,000 maps. This collection covers a 500-year map and color history. Aiming to study the ... -
Evaluating hyperspectral Secchi depth retrieval through hybrid modeling and regression
(Peer reviewed; Journal article, 2023)This work compares different regression models combined with hybrid modeling to estimate water clarity using hyper-spectral remote sensing data. The Secchi depth, a proxy of water clarity, can be modeled using first ... -
Exploration of Deep Learning for Cloud Segmentation in Multispectral and Hyperspectral Satellite Imagery
(Journal article; Peer reviewed, 2023)Because clouds often block much or all of the light reflected off the surface and obscure the features remote sensing seeks to reveal, typically covering 2/3 of the surface at any given time, they are one of the most ... -
Fully Constrained Least Squares Linear Spectral Unmixing of The Scream (Verso, 1893)
(Peer reviewed; Journal article, 2021)Taking insights from the remote sensing field, in the recent decade, the advantages of hyperspectral imaging technology has been exploited for painting conservation. The estimation of pigment proportion in painting is a ... -
Hyperspectral Pigment Dataset
(Peer reviewed; Journal article, 2022)Hyperspectral imaging has the potential of delivering highly accurate results due to its high spatial and spectral resolutions. However, to ensure relevant and highly accurate end results, the processing steps need to go ... -
Independent component analysis: A tool for algal bloom detection
(Peer reviewed; Journal article, 2023)Independent component analysis decomposition of hyperspectral signals has characteristics ideal for detecting harmful algal blooms in coastal waters. In this proceeding, independent component analysis is used to process ... -
Interactive hyperspectral data inspection during field operations
(Peer reviewed; Journal article, 2022)Hyperspectral data cubes generated from hyperspectral cameras can be hard to inspect in during a field operation as the data is collected. This is due to the high spectral dimension of the data, resulting in large data ... -
A Metrological Framework for Hyperspectral Texture Analysis Using Relative Spectral Difference Occurrence Matrix
(Peer reviewed; Journal article, 2019)A new hyperspectral texture descriptor, Relative Spectral Difference Occurrence Matrix (RSDOM) is proposed. Developed in a metrological framework, it simultaneously considers the distribution of spectra and their spatial ... -
A modular hyperspectral image processing pipeline for cubesats
(Peer reviewed; Journal article, 2022)This work describes the onboard image processing pipeline that is designed to be used onboard a CubeSat with a Hyper Spectral (Imager/Image) (HSI), namely the HYPSO-I satellite. While the system itself supports both the ... -
Morphological Texture Description For Hyperspectral Images: Pattern Spectrum
(Peer reviewed; Journal article, 2021)A metrological extension of morphological granulometry for the hyperspectral domain is introduced in this work. This development is enabled by the latest study of a suitable ordering relation for hyperspectral images. With ... -
ON-BOARD CHARACTERIZATION OF HYPERSPECTRAL IMAGE EXPOSURE AND CLOUD COVERAGE BY COMPRESSION RATIO
(Peer reviewed; Journal article, 2022) -
Onboard Hyperspectral Classification Enables Georeferencing
(Journal article; Peer reviewed, 2023)The Norwegian University of Science and Technology (NTNU) has been building a system composed of multiple remote sensing agents for ocean observations. NTNU launched the first HYPerspectral Smallsat for Ocean observation ... -
Pixel-based Vertex Clustering for Spectral Data Enrichment of Planar Point Clouds
(Journal article; Peer reviewed, 2023)Application of both hyperspectral imaging and 3D point clouds have been utilized in various fields that investigates a surface’s geometrical properties and its material characteristics. The two modalities are acquired using ...