Spectral Characteristic Analysis of Lung Cancer Serum

Li, Xiaozhou; Jin, Huiqiang; Liu, Huasheng; Ding, Jianhua; Lin, Junxiu

doi:10.1364/ecbo.2001.4432_257

Cited by 2 publications

(2 citation statements)

References 3 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In the remote sensing measurement of soil moisture content, the method based on soil moisture reflection spectrum is widely used. During the measurement, the correlation model between soil moisture content and soil reflectance is determined by extracting the corresponding characteristic band and performing fitting analysis based on mathematical statistical method according to the change law of soil reflectance spectrum curve and soil moisture content, The quantitative inversion of soil water content is carried out [4][5][6][7][8] . Many scholars at home and abroad have studied hyperspectral retrieval of soil water content.…”

Section: Introductionmentioning

confidence: 99%

Retrieval technology of soil moisture content in crops cotton field based on UAV hyperspectral data

Wan²,

Xie³

et al. 2023

Fourth International Conference on Geoscience and Remote Sensing Mapping (GRSM 2022)

View full text Add to dashboard Cite

With the rapid development of modern agriculture, the traditional agricultural farming model has been unable to meet the requirements of the rapid development of contemporary society for productivity. The monitoring of crop soil moisture content by satellite hyperspectral is limited by the problems of spatial resolution and data source. The rapid development of UAV has made up for the defects of satellite hyperspectral. In this manuscript, the hyperspectral data of UAV is used as the main data source, the measured spectrum of vegetation in cotton field and the measured ground moisture content data are used as auxiliary data. Different vegetation indexes are calculated by using the measured spectral curve on the ground. Meanwhile, the correlation with the measured soil moisture content and vegetation indexes is also analyzed. The quantitative relationship between vegetation canopy spectral information and ground measured soil moisture content is established and the soil moisture content is retrieved through the vegetation canopy spectral information indirectly. In order to optimizing the hyperspectral data of UAV, the regression relationship between the same vegetation index of two data sources is established, and the soil moisture content model constructed by the measured spectral curve vegetation index is applied to the UAV hyperspectral image in order to completing the large-scale spatial inversion mapping of soil water content. The results showed that there was a positive correlation between soil water content and vegetation index as a whole. The correlation between soil moisture content and normalized vegetation index (NDVI), green wave vegetation index (GNDVI), soil regulated vegetation index (OSAVI) and soil ratio vegetation index (SR) reached 0.79, 0.72, 0.73 and 0.84. NDVI and SR are selected to construct the soil moisture content inversion model, and the model determination coefficients are 0.63 and 0.77 respectively. Due to the difference between the vegetation index of ground measured spectrum and hyperspectral data of UAV, the hyperspectral data are optimized through the vegetation index established by ground measured spectrum to realize the inversion mapping of soil moisture content of UAV hyperspectral data.

show abstract

Section: Introductionmentioning

confidence: 99%

Retrieval technology of soil moisture content in crops cotton field based on UAV hyperspectral data

Wan²,

Xie³

et al. 2023

Fourth International Conference on Geoscience and Remote Sensing Mapping (GRSM 2022)

View full text Add to dashboard Cite

show abstract

“…Zhan Huaiyu [13] investigated the fiber morphology and bleaching performance of corn stalk. Liu Liying and Chen Hongzhang [14] established near infrared reflectance spectroscopy (NIRS) to measure the component of corn stalk. Christopher T.W [15] researched on the biology mechanism of corn stalk abroad.…”

Section: Introductionmentioning

confidence: 99%

New Strength Agent: Corn Stalk Pulp Applied on Package Board

Zheng

Sun

Zhang

et al. 2013

AMR

View full text Add to dashboard Cite

The feasibility of making new strength agent by cooking corn stalk rich in hemicellulose was studied. Corn stalk was cooked by normal ethanol pulping with best process parameters obtained by early discovery. The effect of corn stalk agent on physical strength of package board (made by 20% mineral fibre and 80% recycled fibre) was discussed as well. After cooked, all of the corn stalk suspension was added into the mixed pulp directly. Results showed that the package boards physical properties improved greatly. Tensile index, ring crush index, bursting index and folding index increased by 39.6%, 35.4%, 26.6% and 100% respectively at dosage of 5% while tear index and tightness changed slightly under the same conditions.

show abstract

Spectral Characteristic Analysis of Lung Cancer Serum

Cited by 2 publications

References 3 publications

Retrieval technology of soil moisture content in crops cotton field based on UAV hyperspectral data

Retrieval technology of soil moisture content in crops cotton field based on UAV hyperspectral data

New Strength Agent: Corn Stalk Pulp Applied on Package Board

Contact Info

Product

Resources

About