Limits...
A Multispectral Image Creating Method for a New Airborne Four-Camera System with Different Bandpass Filters.

Li H, Zhang A, Hu S - Sensors (Basel) (2015)

Bottom Line: For this multispectral system, an automatic multispectral data composing method was proposed.For the difficult registration problem between visible band images and near-infrared band images in cases lacking manmade objects, we presented an effective method based on the structural characteristics of the system.Experiments show that our method can acquire high quality multispectral images and the band-to-band alignment error of the composed multiple spectral images is less than 2.5 pixels.

View Article: PubMed Central - PubMed

Affiliation: Key Laboratory of 3D Information Acquisition and Application of Ministry, Capital Normal University, Beijing 100048, China. lihanlun@126.com.

ABSTRACT
This paper describes an airborne high resolution four-camera multispectral system which mainly consists of four identical monochrome cameras equipped with four interchangeable bandpass filters. For this multispectral system, an automatic multispectral data composing method was proposed. The homography registration model was chosen, and the scale-invariant feature transform (SIFT) and random sample consensus (RANSAC) were used to generate matching points. For the difficult registration problem between visible band images and near-infrared band images in cases lacking manmade objects, we presented an effective method based on the structural characteristics of the system. Experiments show that our method can acquire high quality multispectral images and the band-to-band alignment error of the composed multiple spectral images is less than 2.5 pixels.

No MeSH data available.


Experimental scene and equipment installation.
© Copyright Policy
Related In: Results  -  Collection

License
getmorefigures.php?uid=PMC4541943&req=5

sensors-15-17453-f010: Experimental scene and equipment installation.

Mentions: The multispectral mapping system was mounted on a metal protective box installed on an airship, named ASQ-HAA380, which was developed by our research group. On 18 August 2014, the research group carried a flight experiment in Haibei Tibetan Autonomous Prefecture, Qinghai Province, China, and the experimental scenario is shown in Figure 10. Qinghai TV and many other media sources reported this experiment [19]. The experimental data will be used mainly for pasture biomass assessment and the survey of urban green space in high altitude area. In order to guarantee the image quality of each multispectral camera, according to flight altitude and weather conditions, each camera was individually adjusted for optimum focus and aperture setting. Four different band images acquired by the multispectral system at one exposal are shown in Figure 4 in the Section 3, and their histograms are shown in Figure 11. The histograms of these images from diverse target areas spread well within the dynamic range without saturation and indicate that the system is able to capture high quality multispectral data.


A Multispectral Image Creating Method for a New Airborne Four-Camera System with Different Bandpass Filters.

Li H, Zhang A, Hu S - Sensors (Basel) (2015)

Experimental scene and equipment installation.
© Copyright Policy
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4541943&req=5

sensors-15-17453-f010: Experimental scene and equipment installation.
Mentions: The multispectral mapping system was mounted on a metal protective box installed on an airship, named ASQ-HAA380, which was developed by our research group. On 18 August 2014, the research group carried a flight experiment in Haibei Tibetan Autonomous Prefecture, Qinghai Province, China, and the experimental scenario is shown in Figure 10. Qinghai TV and many other media sources reported this experiment [19]. The experimental data will be used mainly for pasture biomass assessment and the survey of urban green space in high altitude area. In order to guarantee the image quality of each multispectral camera, according to flight altitude and weather conditions, each camera was individually adjusted for optimum focus and aperture setting. Four different band images acquired by the multispectral system at one exposal are shown in Figure 4 in the Section 3, and their histograms are shown in Figure 11. The histograms of these images from diverse target areas spread well within the dynamic range without saturation and indicate that the system is able to capture high quality multispectral data.

Bottom Line: For this multispectral system, an automatic multispectral data composing method was proposed.For the difficult registration problem between visible band images and near-infrared band images in cases lacking manmade objects, we presented an effective method based on the structural characteristics of the system.Experiments show that our method can acquire high quality multispectral images and the band-to-band alignment error of the composed multiple spectral images is less than 2.5 pixels.

View Article: PubMed Central - PubMed

Affiliation: Key Laboratory of 3D Information Acquisition and Application of Ministry, Capital Normal University, Beijing 100048, China. lihanlun@126.com.

ABSTRACT
This paper describes an airborne high resolution four-camera multispectral system which mainly consists of four identical monochrome cameras equipped with four interchangeable bandpass filters. For this multispectral system, an automatic multispectral data composing method was proposed. The homography registration model was chosen, and the scale-invariant feature transform (SIFT) and random sample consensus (RANSAC) were used to generate matching points. For the difficult registration problem between visible band images and near-infrared band images in cases lacking manmade objects, we presented an effective method based on the structural characteristics of the system. Experiments show that our method can acquire high quality multispectral images and the band-to-band alignment error of the composed multiple spectral images is less than 2.5 pixels.

No MeSH data available.