9 results about "Green band" patented technology

The invention discloses a duckweed type eutrophication water body monitoring method based on sentinel No.2 satellite images, and relates to the technical field of water body monitoring, and the method comprises the following steps: carrying out atmospheric correction processing on sentinel No.2 L1 C-level satellite images in a non-duckweed growth season and a duckweed growth season, and then re-sampling all wave bands to the same resolution; performing mean filtering on a blue wave band, a green wave band, a red wave band, a near-infrared wave band and a narrow near-infrared wave band of the multi-wave-band surface reflectance image after re-sampling in the non-duckweed growth season and the duckweed growth season, and then performing wave band synthesis to obtain a non-duckweed growth season wave band synthesis image and a duckweed growth season wave band synthesis image; and calculating the proportion of the duckweed growth range in the water body range by using the non-duckweed growth season waveband synthetic image and the duckweed growth season waveband synthetic image. The duckweed type eutrophication water body can be rapidly monitored in a large range at low cost.

The application discloses a kind of based on sentinel-2 satellite image's duckweed type eutrophication water monitoring method, it is related to water monitoring technical field, including the following steps: after the atmospheric correction processing of sentinel-2 L1 C level satellite image of non-duckweed growing season and duckweed growing season, all wavebands are resampled to the same resolution, after mean filtering to the blue band, green band, red band, near infrared band, narrow near infrared band of multi-band surface reflectance image after resampling of non-duckweed growing season and duckweed growing season, then band synthesis is carried out, obtain non-duckweed growing season band synthesis image and duckweed growing season band synthesis image;The proportion of duckweed growing range in water range is calculated using non-duckweed growing season band synthesis image and duckweed growing season band synthesis image.The present application can realize the fast, large-scale, low-cost duckweed type eutrophication water monitoring.

The invention discloses a beach garbage remote sensing monitoring method based on automatic double-threshold segmentation, and the method comprises the steps: generating a self-adaptive flight task planning scheme through obtaining the monitoring demand information and multi-source environment data of a target beach region, and controlling an unmanned plane platform to collect a high-resolution remote sensing image data set; after a digital orthoimage is generated through preprocessing, a green band component and a blue band component of the digital orthoimage are extracted, a green band segmentation threshold interval and a blue band segmentation threshold interval are calculated based on a local statistical feature adaptive algorithm, and a first candidate garbage distribution binary image and a second candidate garbage distribution binary image are generated through binarization segmentation processing. And obtaining beach garbage distribution vector data through space fusion and noise elimination processing, carrying out space-time change detection analysis and pollution level evaluation, and outputting a beach garbage monitoring report. Intelligent planning is realized through multi-source data fusion, the problem of spectrum overlapping is solved by adopting dual-band local adaptive threshold segmentation, and reliable technical support is provided for beach garbage treatment.

The invention relates to the technical field of remote sensing image processing, in particular to a small beach shoreline accurate extraction method and system based on bare soil-water body double-index collaboration, and the method comprises the following steps: obtaining a multi-temporal Landsat surface reflectance image set which covers a target area and is subjected to radiometric calibration and wave band unified naming; obtaining a clean image set; generating a binary beach mask based on the surface reflectance of each pixel in the clean image set in a blue band, a green band, a red band, a near-infrared band and a short-wave infrared band; performing morphological closing operation on the binary beach mask to fill the fine holes to obtain a continuous mask; vectorizing and geometrically simplifying the continuous mask to obtain an initial beach face vector; and performing post-processing operation on the initial beach face vector to obtain a final beach boundary vector. According to the technical scheme, the beach can be effectively distinguished from adjacent water bodies, vegetation, buildings and other ground objects, and false lifting and missing lifting are remarkably reduced.

The invention relates to the technical field of remote sensing images, and provides a multispectral remote sensing image tobacco vegetation index calculation method and an image optimization method, and the method comprises the following steps: inputting a multispectral remote sensing image; performing radiometric calibration and atmospheric correction on the multispectral image; acquiring reflectivity of a near-infrared wave band, a red wave band, a green wave band and a blue wave band; and calculating the tobacco vegetation index VIT based on the reflectivity of the near-infrared band, the red band, the green band and the blue band. The tobacco vegetation index VIT is suitable for a multispectral image and a hyperspectral image acquired by an unmanned aerial vehicle and a multispectral image acquired by a satellite, the tobacco vegetation is remarkably highlighted, the tobacco vegetation is remarkably distinguished from other vegetation, and the blank that the vegetation index does not aim at the tobacco plant is filled.

This invention provides a method and system for shallow water depth inversion based on multi-temporal satellite imagery guided by laser bathymetry. The method includes: extracting water body pixels from Sentinel-2 imagery; extracting water depth photons from satellite-borne laser bathymetry data and performing refraction correction to obtain water depth values ​​along the orbital direction; utilizing the strong correlation between the water depth values ​​along the orbital direction and the reflectivity of the blue and green bands of Sentinel-2 imagery to calculate multi-temporal image fusion weights and generate a weighted fused image; based on water column layer-by-layer inversion and / or seabed classification inversion strategies, dividing the weighted fused image into multiple homogeneous regions according to the water penetration capabilities of blue and green light; using LLM and / or LRM to invert water depth layer by layer in the multiple homogeneous regions; and fusing the results of different regions through a buffer zone to obtain the water depth inversion result for the entire shallow sea area. This invention can achieve high-precision and high-stability shallow water depth inversion.

A light-emitting structure and an illumination device. The light-emitting structure generates a full-spectrum illumination light source, and comprises at least one light-emitting diode chip (MC), the light-emitting diode chip (MC) comprises an N-type semiconductor layer (101), a P-type semiconductor layer (104), a first light-emitting layer (103), and a second light-emitting layer (102); the first light-emitting layer (103) is located on the side of the second light-emitting layer (102) close to the P-type semiconductor layer (104); the first light-emitting layer (103) generates at least one band of light by electroluminescence; the light generated by the first light-emitting layer (103) excites the second light-emitting layer (102) to generate at least one band of light; and each band of light comprises at least one wavelength. Bands corresponding to all light generated by the light-emitting structure at least comprise a blue band, a cyan band, a green band, a yellow band, and a red band.

This invention provides a dynamic monitoring technology for characteristic parameters of reservoirs in sediment-rich rivers based on remote sensing interpretation and multi-source data fusion, belonging to the field of water conservancy engineering monitoring technology. The technology includes the following steps: S1: Remote sensing image acquisition and preprocessing; S2: Water area extraction, fusing green band and shortwave infrared band, and calculating the improved normalized difference water index; S3: Constructing a water level inversion model, integrating preprocessed daily-scale measured water level data with the concurrent water area extracted in step S2, and dividing it into training and validation sets; S4: Calculating the dynamic water storage of the reservoir; S5: Constructing a sediment concentration inversion model, integrating preprocessed daily-scale measured sediment concentration data to construct a sediment concentration inversion model. This invention uses remote sensing interpretation to achieve automated, long-term, and large-scale continuous monitoring of water and sediment parameters in sediment-rich reservoirs, significantly improving monitoring efficiency; reducing manpower and material costs, and providing technological innovation for watershed-scale dynamic water and sediment perception.

This invention relates to the field of light-emitting diode (LED) technology, specifically disclosing a blue-green dual-band LED epitaxial wafer and its fabrication method, as well as an LED. The blue-green dual-band LED epitaxial wafer includes a substrate, on which a buffer layer, an N-type semiconductor layer, a stress relief layer, a green multi-quantum-well emitting layer, a quantum-well stress modulation layer, a blue multi-quantum-well emitting layer, an electron blocking layer, and a P-type semiconductor layer are sequentially disposed. The blue-green dual-band LED epitaxial wafer provided by this invention can simultaneously excite LED light sources in both blue and green bands, thereby reducing the cost of RGB-LED backlight sources and reducing the use of phosphors in white LED backlight sources.