Multispectral imaging system on tethered balloons for optical remote sensing education and outreach

2012 ◽  
Author(s):  
Joseph A. Shaw ◽  
Paul W. Nugent ◽  
Nathan Kaufman ◽  
Nathan J. Pust ◽  
Devin Mikes ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Multispectral Imaging ◽  
Imaging System ◽  
Optical Remote Sensing ◽  
Education And Outreach

scholarly journals An Airborne Multispectral Imaging System Based on Two Consumer-Grade Cameras for Agricultural Remote Sensing

2014 ◽  
Vol 6 (6) ◽  
pp. 5257-5278 ◽  
Author(s):  
Chenghai Yang ◽  
John Westbrook ◽  
Charles Suh ◽  
Daniel Martin ◽  
W. Hoffmann ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Multispectral Imaging ◽  
Imaging System

Multispectral imaging systems on tethered balloons for optical remote sensing education and research

2012 ◽  
Vol 6 (1) ◽  
pp. 063613 ◽  
Author(s):  
Joseph A. Shaw ◽  
Paul W. Nugent ◽  
Nathan A. Kaufman ◽  
Nathan J. Pust ◽  
Devin Mikes ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Multispectral Imaging ◽  
Imaging Systems ◽  
Optical Remote Sensing

scholarly journals AN ENHANCED ALGORITHM FOR AUTOMATIC RADIOMETRIC HARMONIZATION OF HIGH-RESOLUTION OPTICAL SATELLITE IMAGERY USING PSEUDOINVARIANT FEATURES AND LINEAR REGRESSION

2017 ◽  
Vol XLII-1/W1 ◽  
pp. 115-120
Author(s):  
M. Langheinrich ◽  
P. Fischer ◽  
M. Probeck ◽  
G. Ramminger ◽  
T. Wagner ◽  
...  
Keyword(s):  
Remote Sensing ◽  
High Resolution ◽  
Multispectral Imaging ◽  
Satellite Image ◽  
Spectral Composition ◽  
Remote Sensing Data ◽  
Image Data ◽  
Optical Remote Sensing ◽  
Surface Reflection ◽  
Sensing Data

The growing number of available optical remote sensing data providing large spatial and temporal coverage enables the coherent and gapless observation of the earth’s surface on the scale of whole countries or continents. To produce datasets of that size, individual satellite scenes have to be stitched together forming so-called mosaics. Here the problem arises that the different images feature varying radiometric properties depending on the momentary acquisition conditions. The interpretation of optical remote sensing data is to a great extent based on the analysis of the spectral composition of an observed surface reflection. Therefore the normalization of all images included in a large image mosaic is necessary to ensure consistent results concerning the application of procedures to the whole dataset. In this work an algorithm is described which enables the automated spectral harmonization of satellite images to a reference scene. As the stable and satisfying functionality of the proposed algorithm was already put to operational use to process a high number of SPOT-4/-5, IRS LISS-III and Landsat-5 scenes in the frame of the European Environment Agency's Copernicus/GMES Initial Operations (GIO) High-Resolution Layer (HRL) mapping of the HRL Forest for 20 Western, Central and (South)Eastern European countries, it is further evaluated on its reliability concerning the application to newer Sentinel-2 multispectral imaging products. The results show that the algorithm is comparably efficient for the processing of satellite image data from sources other than the sensor configurations it was originally designed for.

scholarly journals Design of a Tunable Snapshot Multispectral Imaging System through Ray Tracing Simulation

2019 ◽  
Vol 5 (1) ◽  
pp. 9
Author(s):  
Mengjia Ding ◽  
Peter WT Yuen ◽  
Jonathan Piper ◽  
Peter Godfree ◽  
Ayan Chatterjee ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Ray Tracing ◽  
Multispectral Imaging ◽  
Imaging System ◽  
Imaging Techniques ◽  
Air Gap ◽  
Coded Aperture ◽  
Practical Usefulness ◽  
Present Design ◽  
Pros And Cons

Research on snapshot multispectral imaging has been popular in the remote sensing community due to the high demands of video-rate remote sensing system for various applications. Existing snapshot multispectral imaging techniques are mainly of a fixed wavelength type, which limits their practical usefulness. This paper describes a tunable multispectral snapshot system by using a dual prism assembly as the dispersion element of the coded aperture snapshot spectral imagers (CASSI). Spectral tuning is achieved by adjusting the air gap displacement of the dual prism assembly. Typical spectral shifts of about 1 nm at 400 nm and 12 nm at 700 nm wavelength have been achieved in the present design when the air-gap of the dual prism is changed from 4.24 mm to 5.04 mm. The paper outlines the optical designs, the performance, and the pros and cons of the dual-prism CASSI (DP-CASSI) system. The performance of the system is illustrated by TraceProTM ray tracing, to allow researchers in the field to repeat or to validate the results presented in this paper.

Optimization for optical remote sensing imaging system based on space-invariant image restoration

2015 ◽  
Vol 23 (5) ◽  
pp. 1490-1497
Author(s):  
智喜洋 ZHI Xi-yang ◽  
张伟 ZHANG Wei ◽  
侯晴宇 HOU Qing-yu ◽  
孙晅 SUN Xuan
Keyword(s):  
Remote Sensing ◽  
Image Restoration ◽  
Imaging System ◽  
Optical Remote Sensing

scholarly journals Development of a VNIR/SWIR Multispectral Imaging System for Vegetation Monitoring with Unmanned Aerial Vehicles

Sensors ◽  
2019 ◽  
Vol 19 (24) ◽  
pp. 5507 ◽  
Author(s):  
Alexander Jenal ◽  
Georg Bareth ◽  
Andreas Bolten ◽  
Caspar Kneer ◽  
Immanuel Weber ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Unmanned Aerial Vehicles ◽  
Multispectral Imaging ◽  
Imaging System ◽  
Short Wave ◽  
Vegetation Monitoring ◽  
Sensing Applications ◽  
Aerial Vehicles ◽  
Remote Sensing Applications ◽  
Short Wave Infrared

Short-wave infrared (SWIR) imaging systems with unmanned aerial vehicles (UAVs) are rarely used for remote sensing applications, like for vegetation monitoring. The reasons are that in the past, sensor systems covering the SWIR range were too expensive, too heavy, or not performing well enough, as, in contrast, it is the case in the visible and near-infrared range (VNIR). Therefore, our main objective is the development of a novel modular two-channel multispectral imaging system with a broad spectral sensitivity from the visible to the short-wave infrared spectrum (approx. 400 nm to 1700 nm) that is compact, lightweight and energy-efficient enough for UAV-based remote sensing applications. Various established vegetation indices (VIs) for mapping vegetation traits can then be set up by selecting any suitable filter combination. The study describes the selection of the individual components, starting with suitable camera modules, the optical as well as the control and storage parts. Special bandpass filters are used to select the desired wavelengths to be captured. A unique flange system has been developed, which also allows the filters to be interchanged quickly in order to adapt the system to a new application in a short time. The characterization of the system was performed in the laboratory with an integrating sphere and a climatic chamber. Finally, the integration of the novel modular VNIR/SWIR imaging system into a UAV and a subsequent first outdoor test flight, in which the functionality was tested, are described.

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