Blar i Fakultet for informasjonsteknologi og elektroteknikk (IE) på tidsskrift "Remote Sensing"
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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 ... -
A Change-Driven Image Foveation Approach for Tracking Plant Phenology
(Peer reviewed; Journal article, 2020)One of the challenges in remote phenology studies lies in how to efficiently manage large volumes of data obtained as long-term sequences of high-resolution images. A promising approach is known as image foveation, which ... -
Densely Residual Network with Dual Attention for Hyperspectral Reconstruction from RGB Images
(Peer reviewed; Journal article, 2022)In the last several years, deep learning has been introduced to recover a hyperspectral image (HSI) from a single RGB image and demonstrated good performance. In particular, attention mechanisms have further strengthened ... -
Feasibility Study on Hyperspectral LiDAR for Ancient Huizhou-Style Architecture Preservation
(Journal article; Peer reviewed, 2020)Huizhou-style ancient architecture was one of the most important genres of architectural heritage in China. The architecture employed bricks, woods, and stones as raw materials, and timber frames were significant structures. ... -
Feature Selection Based on Principal Component Regression for Underwater Source Localization by Deep Learning
(Peer reviewed; Journal article, 2021)Underwater source localization is an important task, especially for real-time operation. Recently, machine learning methods have been combined with supervised learning schemes. This opens new possibilities for underwater ... -
Globally vs. Locally Trained Machine Learning Models for Landslide Detection: A Case Study of a Glacial Landscape
(Peer reviewed; Journal article, 2023)Landslide risk mitigation is limited by data scarcity; however, this could be improved using continuous landslide detection systems. To investigate which image types and machine learning models are most useful for landslide ... -
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 ... -
In-orbit measurements and analysis of radio interference in the UHF amateur radio band from the LUME-1 satellite
(Journal article; Peer reviewed, 2021) -
Machine Learning Approaches to Automatically Detect Glacier Snow Lines on Multi-Spectral Satellite Images
(Peer reviewed; Journal article, 2022)Documenting the inter-annual variability and the long-term trend of the glacier snow line altitude is highly relevant to document the evolution of glacier mass changes. Automatically identifying the snow line on glaciers ... -
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 ... -
Shear-Wave Tomography Using Ocean Ambient Noise with Interference
(Peer reviewed; Journal article, 2020)Ambient noise carries abundant subsurface structure information and attracts ever-increasing attention in the past decades. However, there are lots of interference factors in the ambient noise in the real world, making the ... -
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, ... -
A Soft Computing Approach for Selecting and Combining Spectral Bands
(Peer reviewed; Journal article, 2020)We introduce a soft computing approach for automatically selecting and combining indices from remote sensing multispectral images that can be used for classification tasks. The proposed approach is based on a Genetic-Programming ... -
Tracking a low-angle isolated target via an elevation-angle estimation algorithm based on extended kalman filter with an array antenna
(Journal article; Peer reviewed, 2021)