Browsing NTNU Open by Journals "Remote Sensing"
Now showing items 1-20 of 40
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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 ... -
AEM in norway: A review of the coverage, applications and the state of technology
(Peer reviewed; Journal article, 2021)From the first use of airborne electromagnetic (AEM) systems for remote sensing in the 1950s, AEM data acquisition, processing and inversion technology have rapidly developed. Once used extensively for mineral exploration ... -
Breach Progression Observation in Rockfill Dam Models Using Photogrammetry
(Peer reviewed; Journal article, 2023)Dam failures are examples of man-made disasters that have stimulated investigation into the processes related to the failure of different dam types. Embankment dam breaching during an overtopping event is one of the major ... -
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 ... -
Comparison between Topographic and Bathymetric LiDAR Terrain Models in Flood Inundation Estimations
(Peer reviewed; Journal article, 2022)Remotely sensed LiDAR data has allowed for more accurate flood map generation through hydraulic simulations. Topographic and bathymetric LiDARs are the two types of LiDAR used, of which the former cannot penetrate water ... -
Delineation of Wetland Areas in South Norway from Sentinel-2 Imagery and LiDAR Using TensorFlow, U-Net, and Google Earth Engine
(Peer reviewed; Journal article, 2023)Wetlands are important habitats for biodiversity and provide ecosystem services such as climate mitigation and carbon storage. The current wetland mapping techniques in Norway are tedious and costly, and remote sensing ... -
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 ... -
The Effectiveness of Large-Scale, High-Resolution Ground-Penetrating Radar Surveys and Trial Trenching for Archaeological Site Evaluations—A Comparative Study from Two Sites in Norway
(Peer reviewed; Journal article, 2020)The use of large-scale, high-resolution ground-penetrating radar surveys has increasingly become a part of Norwegian cultural heritage management as a complementary method to trial trenching surveys to detect and delineate ... -
Efficient Ground Surface Displacement Monitoring Using Sentinel-1 Data: Integrating Distributed Scatterers (DS) Identified Using Two-Sample t-Test with Persistent Scatterers (PS)
(Journal article; Peer reviewed, 2018)Combining persistent scatterers (PS) and distributed scatterers (DS) is important for effective displacement monitoring using time-series of SAR data. However, for large stacks of synthetic aperture radar (SAR) data, the ... -
Employment, Utilization, and Development of Airborne Laser Scanning in Fenno-Scandinavian Archaeology — a Review
(Peer reviewed; Journal article, 2020)This paper gives a presentation of how airborne laser scanning (ALS) has been adopted in archaeology in the North over the period 2005–2019. Almost two decades have passed since ALS first emerged as a potential tool to add ... -
Exploring Spatial and Temporal Dynamics of Red Sea Air Quality through Multivariate Analysis, Trajectories, and Satellite Observations
(Journal article; Peer reviewed, 2024)The Red Sea, a significant ecoregion and vital marine transportation route, has experienced a consistent rise in air pollution in recent years. Hence, it is imperative to assess the spatial and temporal distribution of air ... -
Feasibility of using Grammars to infer room semantics
(Journal article; Peer reviewed, 2019)Current indoor mapping approaches can detect accurate geometric information but are incapable of detecting the room type or dismiss this issue. This work investigates the feasibility of inferring the room type by using ... -
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 ... -
First Evidence of Mesoscale Ocean Eddies Signature in GNSS Reflectometry Measurements
(Journal article; Peer reviewed, 2020)Feasibility of sensing mesoscale ocean eddies using spaceborne Global Navigation Satellite Systems-Reflectometry (GNSS-R) measurements is demonstrated for the first time. Measurements of Cyclone GNSS (CYGNSS) satellite ... -
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) -
Integrated Spatiotemporal Analysis of Vegetation Condition in a Complex Post-Mining Area: Lignite Mine Case Study
(Peer reviewed; Journal article, 2023)The motivation for this study arises from the need to monitor the condition of a rehabilitated post-mining areas even decades after the end of the recovery phase. This can be facilitated with satellite derived spectral ...