Results 11 to 20 of about 57,543 (231)

Current State of Hyperspectral Remote Sensing for Early Plant Disease Detection: A Review [PDF]

Sensors, 2022
The development of hyperspectral remote sensing equipment, in recent years, has provided plant protection professionals with a new mechanism for assessing the phytosanitary state of crops.
Anton Terentev, Viktor Dolzhenko, Alexander Fedotov, Danila Eremenko   +3 more
doaj   +4 more sources

Hyperspectral remote sensing of plant pigments [PDF]

Journal of Experimental Botany, 2006
The dynamics of pigment concentrations are diagnostic of a range of plant physiological properties and processes. This paper appraises the developing technologies and analytical methods for quantifying pigments non-destructively and repeatedly across a range of spatial scales using hyperspectral remote sensing.
openaire   +4 more sources

Research on Classification of Grassland Degeneration Indicator Objects Based on UAV Hyperspectral Remote Sensing and 3D_RNet-O Model [PDF]

Sensors
Real-time and high-precision land cover classification is the foundation for efficient and quantitative research on grassland degradation using remote sensing techniques.
Eerdoumutu Jin, Jianmin Du, Yuge Bi, Shengli Wang, Xinchao Gao   +4 more
doaj   +2 more sources

Multi- and hyperspectral geologic remote sensing: A review

International Journal of Applied Earth Observation and Geoinformation, 2012
Geologists have used remote sensing data since the advent of the technology for regional mapping, structural interpretation and to aid in prospecting for ores and hydrocarbons. This paper provides a review of multispectral and hyperspectral remote sensing data, products and applications in geology. During the early days of Landsat Multispectral scanner
van der Meer, Freek D., van der Werff, Harald M.A., van Ruitenbeen, Frank J.A., Hecker, Chris A., Bakker, Wim H., Noomen, Marleen F., van der Meijder, Mark, Carranza, E. John M., de Smeth, J. Boudewijn, Woldai, Tsehaie   +9 more
openaire   +6 more sources

Unsupervised Domain Adaptation With Dense-Based Compaction for Hyperspectral Imagery

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021
Enormously hard work of label obtaining leads to the lack of enough annotated samples in the hyperspectral imagery (HSI). The mentioned reality inferred the unsupervised classification performance barely satisfactorily.
Chunyan Yu, Caiyu Liu, Haoyang Yu, Meiping Song, Chein-I Chang   +4 more
doaj   +1 more source

A Spatial-Enhanced LSE-SFIM Algorithm for Hyperspectral and Multispectral Images Fusion

Remote Sensing, 2021
The fusion of a hyperspectral image (HSI) and multispectral image (MSI) can significantly improve the ability of ground target recognition and identification.
Yulei Wang, Qingyu Zhu, Yao Shi, Meiping Song, Chunyan Yu   +4 more
doaj   +1 more source

Orthogonal Subspace Projection Target Detector for Hyperspectral Anomaly Detection

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021
Orthogonal subspace projection (OSP) is a versatile hyperspectral imaging technique which has shown great potential in dimensionality reduction, target detection, spectral unmixing, etc. However, due to its inherent requirement of prior target knowledge,
Chein-I Chang, Hongju Cao, Meiping Song
doaj   +1 more source

SGD-SM 2.0: an improved seamless global daily soil moisture long-term dataset from 2002 to 2022 [PDF]

Earth System Science Data, 2022
The drawbacks of low-coverage rate in global land inevitably exist in satellite-based daily soil moisture products because of the satellite orbit covering scopes and the limitations of soil moisture retrieving models.
Q. Zhang, Q. Yuan, T. Jin, M. Song, F. Sun   +4 more
doaj   +1 more source

Interference-Suppressed and Cluster-Optimized Hyperspectral Target Extraction Based on Density Peak Clustering

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021
Target extraction can provide a prior knowledge for spectral unmixing, unsupervised hyperspectral image classification, and unsupervised target detection tasks, which is of great practice.
Xiaodi Shang, Tingting Yang, Sichao Han, Meiping Song, Bai Xue   +4 more
doaj   +1 more source

A HYPERSPECTRAL REMOTE SENSING FUSION TECHNOLOGY BASED ON SPECTRAL NORMALIZATION OF GF AND ZY SERIES SATELLITES [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2022
Globalized surface coverage, environmental monitoring and other earth system science and high-quality global surface coverage monitoring applications urgently need basic hyperspectral remote sensing reflectance data to support.
S. Liu, H. Li, X. Wang, C. Liu, Y. Wang, P. Huang   +5 more
doaj   +1 more source