Results 31 to 40 of about 4,872 (167)

Classification of Different Winter Wheat Cultivars on Hyperspectral UAV Imagery

Applied Sciences, 2023
Crop phenotype observation techniques via UAV (unmanned aerial vehicle) are necessary to identify different winter wheat cultivars to better realize their future smart productions and satisfy the requirement of smart agriculture.
Xiaoxuan Lyu, Weibing Du, Hebing Zhang, Wen Ge, Zhichao Chen, Shuangting Wang   +5 more
doaj   +1 more source

Mapping Layers of Clay in a Vertical Geological Surface Using Hyperspectral Imagery: Variability in Parameters of SWIR Absorption Features under Different Conditions of Illumination

Remote Sensing, 2014
Hyperspectral imagery of a vertical mine face acquired from a field-based platform is used to evaluate the effects of different conditions of illumination on absorption feature parameters wavelength position, depth and width.
Richard J. Murphy, Sven Schneider, Sildomar T. Monteiro   +2 more
doaj   +1 more source

TREE SPECIES RECOGNITION IN SPECIES RICH AREA USING UAV-BORNE HYPERSPECTRAL IMAGERY AND STEREO-PHOTOGRAMMETRIC POINT CLOUD [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2017
Recognition of tree species and geospatial information of tree species composition is essential for forest management. In this study we test tree species recognition using hyperspectral imagery from VNIR and SWIR camera sensors in combination with 3D ...
S. Tuominen, R. Näsi, E. Honkavaara, A. Balazs, T. Hakala, N. Viljanen, I. Pölönen, H. Saari, J. Reinikainen   +8 more
doaj   +1 more source

Quality criteria benchmark for hyperspectral imagery [PDF]

IEEE Transactions on Geoscience and Remote Sensing, 2005
Hyperspectral data appear to be of a growing interest over the past few years. However, applications for hyperspectral data are still in their infancy as handling the significant size of the data presents a challenge for the user community. Efficient compression techniques are required, and lossy compression, specifically, will have a role to play ...
Christophe, Emmanuel, Léger, Dominique, Mailhes, Corinne   +2 more
openaire   +3 more sources

Simulation and Assessment of the Capabilities of Orbita Hyperspectral (OHS) Imagery for Remotely Monitoring Chlorophyll-a in Eutrophic Plateau Lakes

Remote Sensing, 2021
The chlorophyll-a (Chl-a) concentration of eutrophic lakes fluctuates significantly due to the disturbance of wind and anthropogenic activities on the water body. Consequently, estimation of the Chl-a concentration has become an immense challenge. Due to
Runfei Zhang, Zhubin Zheng, Ge Liu, Chenggong Du, Chao Du, Shaohua Lei, Yifan Xu, Jie Xu, Meng Mu, Shun Bi, Jianzhong Li   +10 more
doaj   +1 more source

Crops Fine Classification in Airborne Hyperspectral Imagery Based on Multi-Feature Fusion and Deep Learning

Remote Sensing, 2021
Hyperspectral imagery has been widely used in precision agriculture due to its rich spectral characteristics. With the rapid development of remote sensing technology, the airborne hyperspectral imagery shows detailed spatial information and temporal ...
Lifei Wei, Kun Wang, Qikai Lu, Yajing Liang, Haibo Li, Zhengxiang Wang, Run Wang, Liqin Cao   +7 more
doaj   +1 more source

Parallel Data Compression for Hyperspectral Imagery [PDF]

IGARSS 2008 - 2008 IEEE International Geoscience and Remote Sensing Symposium, 2008
The high dimensionality of hyperspectral imagery challenges image processing and analysis. It has been shown that hyperspectral compression can be achieved by principal component analysis (PCA) for spectral decorrelation followed by the JPEG2000-based coding.
He Yang, Qian Du 0001, Wei Zhu 0005, Ioana Banicescu, James E. Fowler   +4 more
openaire   +1 more source

Assessment of hydrogen fluoride damage to vegetation using optical remote sensing data [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2013
This research assesses damage to vegetation from accidental gaseous hydrogen fluoride leakage, through the analysis of spectral features of the damaged plants using digital aerial photographs and airborne hyperspectral imagery.
C. U. Hyun, J. S. Lee, I. Lee
doaj   +1 more source

Comparing Laboratory and Satellite Hyperspectral Predictions of Soil Organic Carbon in Farmland

Agronomy
Mapping soil organic carbon (SOC) accurately is essential for sustainable soil resource management. Hyperspectral data, a vital tool for SOC mapping, is obtained through both laboratory and satellite-based sources.
Haixia Jin, Jingjing Peng, Rutian Bi, Huiwen Tian, Hongfen Zhu, Haoxi Ding   +5 more
doaj   +1 more source

Multispectral Satellite Imagery Classification Using a Fuzzy Decision Tree

Communications, 2014
A land cover classification system is very important nowadays for various remote sensing applications and many sectors of economy. Therefore, development of algorithms for multi- and hyperspectral imagery classification is an urgent task.
Sergey Stankevich, Vitaly Levashenko, Elena Zaitseva   +2 more
doaj   +1 more source