Results 11 to 20 of about 49,813 (252)
CatLC: Catalonia Multiresolution Land Cover Dataset
Scientific Data, 2022 Measurement(s) RGB orthophoto image • Infrared orthophoto image • Radar backscattering • Hyperspectral image • Topographic measurements • Landcover classification Technology Type(s) Airborne camera • Satellite SAR sensor • Satellite hyperspectral sensor •
Carlos García +3 more
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SYNERGETICS FRAMEWORK FOR HYPERSPECTRAL IMAGE CLASSIFICATION [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2013 Abstract. In this paper a new classification technique for hyperspectral data based on synergetics theory is presented. Synergetics – originally introduced by the physicist H. Haken – is an interdisciplinary theory to find general rules for pattern formation through selforganization and has been successfully applied in fields ranging from biology to ...
Müller, Rupert +2 more
openaire +4 more sources
Remote Sensing, 2023 Hyperspectral image classification plays a crucial role in various remote sensing applications. However, existing methods often struggle with the challenge of unknown classes, leading to decreased classification accuracy and limited generalization.
Huaming Zhou +4 more
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Vector Attribute Profiles for Hyperspectral Image Classification [PDF]
IEEE Transactions on Geoscience and Remote Sensing, 2016 Morphological attribute profiles are among the most prominent spectral–spatial pixel description methods. They are efficient, effective, and highly customizable multiscale tools based on hierarchical representations of a scalar input image. Their application to multivariate images in general and hyperspectral images in particular has been so far ...
Aptoula, Erchan +2 more
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Hyperspectral Image Database Query Based on Big Data Analysis Technology [PDF]
E3S Web of Conferences, 2021 In this paper, we extract spectral image features from a hyperspectral image database, and use big data technology to classify spectra hierarchically, to achieve the purpose of efficient database matching.
Qi Beixun
doaj +1 more source
A new kernel method for hyperspectral image feature extraction [PDF]
, 2017 Hyperspectral image provides abundant spectral information for remote discrimination of subtle differences in ground covers. However, the increasing spectral dimensions, as well as the information redundancy, make the analysis and interpretation of ...
Gao, Lianru +3 more
core +1 more source
Delving Into Classifying Hyperspectral Images via Graphical Adversarial Learning
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020 Recent remote sensing literature has seen generative adversarial network (GAN)-based models developed for hyperspectral image classification, especially in a spatiospectral manner.
Guangxing Wang, Peng Ren
doaj +1 more source
Remote Sensing, 2023 Crop classification of large-scale agricultural land is crucial for crop monitoring and yield estimation. Hyperspectral image classification has proven to be an effective method for this task.
Jiaxing Xie +9 more
doaj +1 more source
Customizing kernel functions for SVM-based hyperspectral image classification [PDF]
, 2008 Previous research applying kernel methods such as support vector machines (SVMs) to hyperspectral image classification has achieved performance competitive with the best available algorithms.
Baofeng Guo +4 more
core +2 more sources
Combining multiscale features for classification of hyperspectral images: a sequence based kernel approach [PDF]
, 2016 Nowadays, hyperspectral image classification widely copes with spatial information to improve accuracy. One of the most popular way to integrate such information is to extract hierarchical features from a multiscale segmentation.
Chapel, Laetitia +2 more
core +4 more sources