Two-channel Hyperspectral LiDAR with a Supercontinuum Laser Source

Chen, Yuwei; Räikkönen, Esa; Kaasalainen, Sanna; Suomalainen, Juha; Hakala, Teemu; Hyyppä, Juha; Chen, Ruizhi

doi:10.3390/s100707057

Cited by 113 publications

(67 citation statements)

References 11 publications

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“…Experiences on this field have been obtained, for example, from studies with a hyperspectral laser scanner developed at the FGI (Chen et al, 2010;Hakala et al, 2012). The system is a terrestrial one and has been successfully applied for vegetation analyses and separation of man-made targets from natural ones (e.g., Puttonen et al, 2015).…”

Section: Introductionmentioning

confidence: 99%

Multispectral Airborne Laser Scanning for Automated Map Updating

Matikainen

Hyyppä

Litkey

2016

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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ABSTRACT:During the last 20 years, airborne laser scanning (ALS), often combined with multispectral information from aerial images, has shown its high feasibility for automated mapping processes. Recently, the first multispectral airborne laser scanners have been launched, and multispectral information is for the first time directly available for 3D ALS point clouds. This article discusses the potential of this new single-sensor technology in map updating, especially in automated object detection and change detection. For our study, Optech Titan multispectral ALS data over a suburban area in Finland were acquired. Results from a random forests analysis suggest that the multispectral intensity information is useful for land cover classification, also when considering ground surface objects and classes, such as roads. An out-of-bag estimate for classification error was about 3% for separating classes asphalt, gravel, rocky areas and low vegetation from each other. For buildings and trees, it was under 1%. According to feature importance analyses, multispectral features based on several channels were more useful that those based on one channel. Automatic change detection utilizing the new multispectral ALS data, an old digital surface model (DSM) and old building vectors was also demonstrated. Overall, our first analyses suggest that the new data are very promising for further increasing the automation level in mapping. The multispectral ALS technology is independent of external illumination conditions, and intensity images produced from the data do not include shadows. These are significant advantages when the development of automated classification and change detection procedures is considered.

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Section: Introductionmentioning

confidence: 99%

Multispectral Airborne Laser Scanning for Automated Map Updating

Matikainen

Hyyppä

Litkey

2016

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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“…Previous research has mainly focused on dual-wavelength LiDAR systems (Tan et al, 2004;Chen et al, 2010;Wallace et al, 2012) but LiDAR system operating with more than two wavelengths has also been developed ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume II-5/W2, 2013ISPRS Workshop Laser Scanning 2013, 11 -13 November 2013, Antalya, Turkey (Woodhouse et al, 2011Wei et al, 2012). These previous approaches have shown the potential for multi-wavelength LiDAR systems in vegetation remote sensing.…”

Section: Introductionmentioning

confidence: 99%

“…The benefits of passive and LiDAR sensors in vegetation remote sensing have led to several attempts to combine these techniques in one measurement system (Johnson et al, 1999;Tan et al, 2004;Chen et al, 2010;Woodhouse et al, 2011;Wallace et al, 2012;Wei et al, 2012). LiDAR and passive sensor data has shown to complement each other very well (Koetz et al, 2007;Jones et al, 2010).…”

Section: Introductionmentioning

confidence: 99%

Nitrogen concentration estimation with hyperspectral LiDAR

Nevalainen

Hakala

Suomalainen

et al. 2013

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci.

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ABSTRACT:Agricultural lands have strong impact on global carbon dynamics and nitrogen availability. Monitoring changes in agricultural lands require more efficient and accurate methods. The first prototype of a full waveform hyperspectral Light Detection and Ranging (LiDAR) instrument has been developed at the Finnish Geodetic Institute (FGI). The instrument efficiently combines the benefits of passive and active remote sensing sensors. It is able to produce 3D point clouds with spectral information included for every point which offers great potential in the field of remote sensing of environment. This study investigates the performance of the hyperspectral LiDAR instrument in nitrogen estimation. The investigation was conducted by finding vegetation indices sensitive to nitrogen concentration using hyperspectral LiDAR data and validating their performance in nitrogen estimation. The nitrogen estimation was performed by calculating 28 published vegetation indices to ten oat samples grown in different fertilization conditions. Reference data was acquired by laboratory nitrogen concentration analysis. The performance of the indices in nitrogen estimation was determined by linear regression and leave-one-out cross-validation. The results indicate that the hyperspectral LiDAR instrument holds a good capability to estimate plant biochemical parameters such as nitrogen concentration. The instrument holds much potential in various environmental applications and provides a significant improvement to the remote sensing of environment.

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“…Supercontinuum (SC) generation in the mid-infrared wavelength range above 2 μm, and in particular, in the transparency window of the atmosphere between 2 and 2.5 μm is an important topic in applied fiber optics due to its numerous applications such as LIDAR systems [1], optical coherence tomography [2], trace gas sensing [3] and environmental monitoring, as well as defense technologies. More than an octave span (~1-2.5 μm at -20 dB level) broad spectrum was reported for the SC generated from a nonlinear fiber spliced to the Tm-doped fiber amplifier [4,5].…”

Section: Introductionmentioning

confidence: 99%

6.8 W all-fiber supercontinuum source at 1.9–2.5 μm

Dvoyrin¹,

Sorokina²

2014

Laser Phys. Lett.

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We report a simple method of generating a spectrally flat and high average power spectral density (up to 14 mW/nm) optical supercontinuum in the 1.95-2.5 μm range covering a transparency window of the atmosphere. The supercontinuum was generated from the Tm-doped all-fiber MOPA lasers. The average output power of the picosecond linearcavity SESAM mode-locked seed lasers operating at 46 and 77 MHz was as low as 6.7 and 2.6 mW, respectively. The corresponding one-stage silica-based fiber amplifier generated a supercontinuum with 5.06 and 6.83 W average power, 550 and 500 nm bandwidths at −10 dB level, and 5 and 8 dB spectral flatness, respectively.

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Two-channel Hyperspectral LiDAR with a Supercontinuum Laser Source

Cited by 113 publications

References 11 publications

Multispectral Airborne Laser Scanning for Automated Map Updating

Multispectral Airborne Laser Scanning for Automated Map Updating

Nitrogen concentration estimation with hyperspectral LiDAR

6.8 W all-fiber supercontinuum source at 1.9–2.5 μm

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