Development of a high-speed, high-resolution multispectral camera system for airborne applications

Stemmler, Simon

doi:10.1117/12.2591990

Cited by 2 publications

(2 citation statements)

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“…The usage of MS cameras with a few bands on the effective wavelengths also has been taken into consideration. Stemmler [ 49 ] developed an MS camera using an RGB and two monochrome cameras taking MS images in three bands (i.e., 548, 725, and 850 nm). For the monochrome cameras, they took advantage of band-pass interference filters.…”

Section: Resultsmentioning

confidence: 99%

Design and Development of Large-Band Dual-MSFA Sensor Camera for Precision Agriculture

Mohammadi,

Gouton,

Rossé

et al. 2023

Sensors

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The optimal design and construction of multispectral cameras can remarkably reduce the costs of spectral imaging systems and efficiently decrease the amount of image processing and analysis required. Also, multispectral imaging provides effective imaging information through higher-resolution images. This study aimed to develop novel, multispectral cameras based on Fabry–Pérot technology for agricultural applications such as plant/weed separation, ripeness estimation, and disease detection. Two multispectral cameras were developed, covering visible and near-infrared ranges from 380 nm to 950 nm. A monochrome image sensor with a resolution of 1600 × 1200 pixels was used, and two multispectral filter arrays were developed and mounted on the sensors. The filter pitch was 4.5 μm, and each multispectral filter array consisted of eight bands. Band selection was performed using a genetic algorithm. For VIS and NIR filters, maximum RMS values of 0.0740 and 0.0986 were obtained, respectively. The spectral response of the filters in VIS was significant; however, in NIR, the spectral response of the filters after 830 nm decreased by half. In total, these cameras provided 16 spectral images in high resolution for agricultural purposes.

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Section: Resultsmentioning

confidence: 99%

Design and Development of Large-Band Dual-MSFA Sensor Camera for Precision Agriculture

Mohammadi,

Gouton,

Rossé

et al. 2023

Sensors

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“…For structure acquisition as a three-dimensional model, satellite images or image data, taken with drones, are usually used. Using structure-from-motion algorithms, 3D point clouds are calculated from these images [6]. To successfully compute a point cloud from drone image data, the images must overlap.…”

Section: Multisource 3d-measurementmentioning

confidence: 99%

Multi-sensor data acquisition for assessing the condition of vegetation

Stemmler

Wiedenmann

2021

Remote Sensing for Agriculture, Ecosystems, and Hydrology XXIII

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The pressure on vegetation, whether forests, meadows or cultivated areas, is becoming increasingly greater. Climate change, extreme weather and ever higher yields taking place at the same time are creating enormous challenges for areas under cultivation. Drought stress, heavy rains and cultivation of monocultures stress both, the soil and the crops themselves. Regular monitoring of the crops or trees as well as soil condition is essential for a sustainable land use. The use of unmanned aerial vehicles (UAVs) for aerial structural surveys, the recording of soil parameters such as soil temperature, soil moisture and gas exchange have so far mostly been carried out independently of each other. Combining these measurement techniques, a holistic picture of the state of these ecosystems becomes possible.The Fraunhofer-Institute for Physical Measurement Techniques IPM presents a coherent process chain for the fully comprehensive recording of ecosystems. A recording by means of LiDAR systems from the ground, multispectral aerial images, terrestrial laser scans and the recording of nitrous oxide emission.Thus, we obtain a full structural image of the ecosystem enriched with metadata on plant condition and soil parameters. This forms the basis of an analysis of the overall condition of the full ecosystem. We present the results of the different sensors and the fused data of a first measurement campaign.

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Development of a high-speed, high-resolution multispectral camera system for airborne applications

Cited by 2 publications

References 5 publications

Design and Development of Large-Band Dual-MSFA Sensor Camera for Precision Agriculture

Design and Development of Large-Band Dual-MSFA Sensor Camera for Precision Agriculture

Multi-sensor data acquisition for assessing the condition of vegetation

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