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Biodiversity research requires more motors in air, water and on land

Methods in Ecology and Evolution, Volume 17, Issue 3, Page 668-682, March 2026.
Abstract Human activities have accelerated species extinctions, driving rapid biodiversity decline. Simultaneously, advancements in Artificial Intelligence (AI) and autonomous systems offer transformative potential for biodiversity research. Uncrewed vehicles—drones (aerial systems) and other robots (ground and underwater platforms)—equipped with high ...
Man Qi, Matthew Gadd, Daniele De Martini, Katrina J. Davis, Biao Xiong, Alice Rosen, Sruthi M. Krishna Moorthy, Nick Hawes, Roberto Salguero‐Gómez   +8 more
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Superpixel based classification of hyperspectral images

2015 23nd Signal Processing and Communications Applications Conference (SIU), 2015
Hyperspectral imaging captures a high number of spectrally narrow bands and provides advantages for image analysis applications such as identification and classification in particular. Hyperspectral images contain a large amount of bands. Processing these images causes the operation load substantially.
ERTÜRK, SARP, Cezairlioglu, Kubra, Cakmak, Mehtap   +2 more
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Optimizing wavelets for hyperspectral image classification

2009 IEEE International Geoscience and Remote Sensing Symposium, 2009
This work presents a procedure to optimize a wavelet filter in terms of discrimination capability between the classes characterizing a given hyperspectral remote sensing image. To this end, this procedure estimates the coefficients of the wavelet filter bank by means of a particle swarm optimization (PSO) so that to maximize the average Bhattacharyya ...
A. Daamouche, Melgani, Farid, L. Hamami
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Hyperspectral image classification using Daisy descriptor

2015 23nd Signal Processing and Communications Applications Conference (SIU), 2015
In this paper it is proposed to use the Daisy descriptor approach to increase classification accuracy in Hyperspectral images. In this descriptor approach, a new descriptor is constructed by applying the spectral data to multiple low-pass filters with different pass frequencies.
ERTÜRK, SARP, Igit, Sevil, Meric, Merve
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Hyperspectral Image and Classification Approaches

2021
Recent developments in remote sensing technology and geographical data have directed the way for the advancement of hyperspectral sensors. Hyperspectral remote sensing (HRS), also known as imaging spectroscopy, is a comparatively new technology that is presently under investigation by researchers and scientists for its vast range of applications such ...
Linmi Tao, Atif Mughees
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Regularized methods for hyperspectral image classification

SPIE Proceedings, 2004
In this paper, we analyze regularized non-linear methods in the context of hyperspectral image classification. For this purpose, we compare regularized radial basis function neural networks (Reg-RBFNN), standard support vector machines (SVM), and kernel Fisher discriminant (KFD) analysis both theoretically and experimentally.
G. Camps Valls, Bruzzone, Lorenzo
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Ghostnet for Hyperspectral Image Classification

IEEE Transactions on Geoscience and Remote Sensing, 2021
Hyperspectral imaging (HSI) is a competitive remote sensing technique in several fields, from Earth observation to health, robotic vision, and quality control. Each HSI scene contains hundreds of (narrow) contiguous spectral bands. The amount of data generated by HSI devices is often both a solution and a problem for a given application.
Mercedes E. Paoletti, Juan M. Haut, Nuno S. Pereira, Javier Plaza, Antonio Plaza   +4 more
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Robust classification of hyperspectral images

SPIE Proceedings, 2007
This paper discusses robust classification of hyperspectral images. Both methods for dimensionality reduction and robust estimation of classifier parameters in full dimension are presented. A new approach to dimensionality reduction that uses piecewise constant function approximation of the spectral curve is compared to conventional dimensionality ...
Anne Schistad Solberg Asbjørn Berg, Are F. C. Jensen   +1 more
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Hyperspectral Tongue Image Classification

2017
The human tongue is an important organ of the body, which carries information of the health status. The images of the human tongue that are currently used in computerized tongue diagnosis of traditional Chinese medicine (TCM) are all RGB color images captured with color CCD cameras. However, this conversional method impedes the accurate analysis of the
David Zhang, Hongzhi Zhang, Bob Zhang
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Hyperspectral Image Classification With Background

IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019
Background (BKG) is an integral part of an image and has significant effect and impact on hyperspectral image classification (HSIC). Unfortunately, how to address the BKG issue has not received much attention over the past years. This paper investigates this issue by developing a mixed pixel classifier, iterative constrained energy minimization (ICEM ...
Xiaodi Shang, Meiping Song, Chunyan Yu
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