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Independent-component analysis for hyperspectral remote sensing imagery classification

Optical Engineering, 2006
We investigate the application of independent-component analysis (ICA) to remotely sensed hyperspectral image classification. We focus on the performance of two well-known and frequently used ICA algorithms: joint approximate diagonalization of eigenmatrices (JADE) and FastICA; but the proposed method is applicable to other ICA algorithms.
Qian Du, Ivica Kopriva, Harold H. Szu
openaire   +1 more source

Hyperspectral Remote Sensing Imagery Processing Focused on Forest Applications

International Review of Aerospace Engineering (IREASE), 2017
Imaging spectrometers with hundreds of spectral channels in visible and infrared regions are designed by various companies to enhance the information content of the relevant hyperspectral imagery processing compared to common-used multispectral systems.
Vladimir V. Kozoderov   +2 more
openaire   +1 more source

Remote sensing with hyperspectral imagery using DASI-an imaging interferometer

IGARSS '96. 1996 International Geoscience and Remote Sensing Symposium, 2002
Describes an approach to terrestrial remote sensing using a novel technique, imaging interferometry. A practical implementation of the instrument, the Digital Array Scanned Interferometer (DASI), has been under development at the authors' laboratories. An overview of recent terrestrial scenes measured using an airborne DASI sensor is presented.
P.D. Hammer   +7 more
openaire   +1 more source

Multiscale Spatial Sparse Unmixing for Remotely Sensed Hyperspectral Imagery

IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium, 2023
Jiajun Zheng   +6 more
openaire   +2 more sources

Superresolution reconstruction of hyperspectral remote sensing imagery using constrained optimization of POCS

2012 IEEE International Geoscience and Remote Sensing Symposium, 2012
An extended superresolution observation model is proposed for POCS superresolution of hyperspectral images. Multiple constraint criteria based on a priori knowledge were incorporated: data consistence, amplitude constraint, Total Variation edge smoothing constraint, outlier rejection, and PCA based denoising.
Jianglin Ma, Jonathan Cheung-Wai Chan
openaire   +1 more source

Cascaded Autoencoders for Spectral-Spatial Remotely Sensed Hyperspectral Imagery Unmixing

IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium, 2022
Yueshuai Shan   +5 more
openaire   +2 more sources

An Understanding Rice Hyperspectral Remote Sensing Imagery Classification Framework

2019
The staple food for the Indonesian people is rice because in rice it contains a large number of calories for the intake of more than 200 million people. Hyperspectral is the sensors that can be used in a variety of applications, one of which is for rice monitoring.
openaire   +1 more source

Remote Sensing Inversion of Tobacco SPAD Based on UAV Hyperspectral Imagery

IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium, 2023
Rui Qin   +10 more
openaire   +2 more sources

Research progress on unmixing of hyperspectral remote sensing imagery

National Remote Sensing Bulletin, 2018
LAN Jinhui   +5 more
openaire   +1 more source

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