scholarly journals Estimation of Bacterial Pustule on Soybean Using Crane-Mounted Hyperspectral Sensor Data

2007 ◽  
Vol 46 (6) ◽  
pp. 16-24 ◽  
Author(s):  
Naoko KOSAKA ◽  
Yohei MINEKAWA ◽  
Kuniaki UTO ◽  
Yukio KOSUGI ◽  
Kunio ODA ◽  
...  
Keyword(s):  
Sensor Data ◽  
Hyperspectral Sensor

scholarly journals Vegetation mapping using airborne hyperspectral sensor data measured in early summer

2007 ◽  
Vol 46 (5) ◽  
pp. 43-55 ◽  
Author(s):  
Hiroshi P. SATO ◽  
Mamoru KOARAI ◽  
Satoshi MIYASAKA ◽  
Hajime MAKITA ◽  
Hiroshi YAGI
Keyword(s):  
Vegetation Mapping ◽  
Early Summer ◽  
Sensor Data ◽  
Hyperspectral Sensor

scholarly journals Depth and Width Changeable Network-Based Deep Kernel Learning-Based Hyperspectral Sensor Data Analysis

2021 ◽  
Vol 2021 ◽  
pp. 1-8
Author(s):  
Jing Liu ◽  
Tingting Wang ◽  
Yulong Qiao
Keyword(s):  
Data Analysis ◽  
Network Architecture ◽  
Data Classification ◽  
Hyperspectral Data ◽  
Sensor Data ◽  
Kernel Learning ◽  
Discriminative Ability ◽  
Neural Network Learning ◽  
And Performance ◽  
Hyperspectral Sensor

Sensor data analysis is used in many application areas, for example, Artificial Intelligence of Things (AIoT), with the rapid developing of the deep neural network learning that promotes its application area. In this work, we propose the Depth and Width Changeable Deep Kernel Learning-based hyperspectral sensing data analysis algorithm. Compared with the traditional kernel learning-based hyperspectral data classification, the proposed method has its advantages on the hyperspectral data classification. With the deep kernel learning, the feature is mapped through many times mapping and has the more discriminative ability. So, the deep kernel learning has the better performance compared with the multiple kernels learning. And it has the ability to adjust the network architecture for hyperspectral data space, with the optimization equation of the span bound. The experiments are implemented to testified the feasibility and performance of the algorithms on the hyperspectral data analysis, with the classification accuracy of hyperspectral data. The comprehensive analysis of the experiments shows that the proposed algorithm is feasible to hyperspectral sensor data analysis and its promising classification method in many areas data analysis.

Discrimination of tomato plants under different irrigation regimes: analysis of hyperspectral sensor data

2014 ◽  
Vol 26 (2) ◽  
pp. 77-88 ◽  
Author(s):  
M. Rinaldi ◽  
A. Castrignanò ◽  
D. De Benedetto ◽  
D. Sollitto ◽  
S. Ruggieri ◽  
...  
Keyword(s):  
Sensor Data ◽  
Tomato Plants ◽  
Irrigation Regimes ◽  
Hyperspectral Sensor

scholarly journals Fast Endmember Extraction for Massive Hyperspectral Sensor Data on GPUs

2013 ◽  
Vol 9 (10) ◽  
pp. 217180 ◽  
Author(s):  
Zebin Wu ◽  
Shun Ye ◽  
Jie Wei ◽  
Zhihui Wei ◽  
Le Sun ◽  
...  
Keyword(s):  
Sensor Data ◽  
Endmember Extraction ◽  
Hyperspectral Sensor

Retrieval of Suspended Sediment from Advanced Hyperspectral Sensor Data in the Scheldt Estuary at Different Stages in the Tidal Cycle

2007 ◽  
Vol 30 (1-2) ◽  
pp. 97-108 ◽  
Author(s):  
Sindy Sterckx ◽  
Els Knaeps ◽  
Mark Bollen ◽  
Koen Trouw ◽  
Rik Houthuys
Keyword(s):  
Suspended Sediment ◽  
Tidal Cycle ◽  
Scheldt Estuary ◽  
Sensor Data ◽  
Hyperspectral Sensor
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