Blar i Institutt for teknisk kybernetikk på tidsskrift "Remote Sensing"
Viser treff 1-6 av 6
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A Parallel FPGA Implementation of the CCSDS-123 Compression Algorithm
(Journal article; Peer reviewed, 2019)Satellite onboard processing for hyperspectral imaging applications is characterized by large data sets, limited processing resources and limited bandwidth of communication links. The CCSDS-123 algorithm is a specialized ... -
How Many Reindeer? UAV Surveys as an Alternative to Helicopter or Ground Surveys for Estimating Population Abundance in Open Landscapes
(Peer reviewed; Journal article, 2023)Conservation of wildlife depends on precise and unbiased knowledge on the abundance and distribution of species. It is challenging to choose appropriate methods to obtain a sufficiently high detectability and spatial ... -
HYPSO-1 CubeSat: First Images and In-Orbit Characterization
(Peer reviewed; Journal article, 2023)The HYPSO-1 satellite, a 6U CubeSat carrying a hyperspectral imager, was launched on 13 January 2022, with the Goal of imaging ocean color in support of marine research. This article describes the development and current ... -
Pre-Launch Assembly, Integration, and Testing Strategy of a Hyperspectral Imaging CubeSat, HYPSO-1
(Peer reviewed; Journal article, 2022)Assembly, Integration, and Verification/Testing (AIV or AIT) is a standardized guideline for projects to ensure consistency throughout spacecraft development phases. The goal of establishing such a guideline is to assist ... -
Robust and Reconfigurable On-Board Processing for a Hyperspectral Imaging Small Satellite
(Peer reviewed; Journal article, 2023)Hyperspectral imaging is a powerful remote sensing technology, but its use in space is limited by the large volume of data it produces, which leads to a downlink bottleneck. Therefore, most payloads to date have been ... -
SIOS’s Earth Observation (EO), Remote Sensing (RS), and operational activities in response to COVID-19
(Peer reviewed; Journal article, 2021)Svalbard Integrated Arctic Earth Observing System (SIOS) is an international partnership of research institutions studying the environment and climate in and around Svalbard. SIOS is developing an efficient observing system, ...