Results 81 to 90 of about 53,858 (186)

Unsupervised Band Selection Based on Covariance Matrix for Hyperspectral Image Classification

Advances in Space Research
Abstract Spectral-spatial classification in hyperspectral imagery has garnered significant interest due to the potential to leverage detailed spectral and spatial information for improved accuracy. However, noisy, or closely spaced spectral bands in original hyperspectral images can detrimentally affect classification, often leading to their ...
Eman N. Abdelhafez, Ahmed Hagag, Tamer A. Abassy   +2 more
openaire   +1 more source

SSANet-BS: Spectral–Spatial Cross-Dimensional Attention Network for Hyperspectral Band Selection

Remote Sensing
Band selection (BS) aims to reduce redundancy in hyperspectral imagery (HSI). Existing BS approaches typically model HSI only in a single dimension, either spectral or spatial, without exploring the interactions between different dimensions. To this end,
Chuanyu Cui, Xudong Sun, Baijia Fu, Xiaodi Shang   +3 more
doaj   +1 more source

Novel oil spill indices for sentinel-2 imagery: A case study of natural seepage in Qaruh Island, Kuwait

MethodsX
Oil spills are a paramount and immediate challenge affecting marine ecosystems globally. Effective and timely monitoring tools, such as oil detection indices, offer a swift means to track oil spill spread across vast oceanic expanses.
Mohamed Zakzouk, Islam Abou El-Magd, Elham M Ali, Abdulaziz M Abdulaziz, Amjad Rehman, Tanzila Saba   +5 more
doaj   +1 more source

Application of LANDSAT-2 data to the implementation and enforcement of the Pennsylvania Surface Mining Conservation and Reclamation Act [PDF]

There are no author-identified significant results in this ...
Deely, D. J.
core   +1 more source

Reflectance of vegetation, soil, and water [PDF]

There are no author-identified significant results in this ...
Wiegand, C. L.
core   +1 more source

Unsupervised Cluster-based Band Selection for Hyperspectral Image Classification [PDF]

Proceedings of the 2013 International Conference on Advanced Computer Science and Electronics Information, 2013
Gwo Chyang Tsuei, Jee Cheng Wu
openaire   +1 more source

Joint skewness and its application in unsupervised band selection for small target detection. [PDF]

Sci Rep, 2015
Geng X, Sun K, Ji L, Tang H, Zhao Y.
europepmc   +1 more source

Hyperspectral Band Selection via Joint Volume Gradient

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Unsupervised band selection (BS) is a crucial research direction in the domain of hyperspectral image (HSI) processing. In recent years, volume-based criteria have garnered considerable attention, with the volume-gradient-based BS (VGBS) algorithm being ...
Songyi Xiao, Liangliang Zhu, Shouzhi Li, Luyan Ji, Xiurui Geng   +4 more
doaj   +1 more source

Machine Learning for Photocatalytic Materials Design and Discovery

Crystals
Traditionally, the development and optimisation of photocatalytic materials have relied on experimental approaches and density functional theory (DFT) calculations. Although these methods have driven significant scientific progress, they are increasingly
David O. Obada, Shittu B. Akinpelu, Simeon A. Abolade, Mkpe O. Kekung, Emmanuel Okafor, Syam Kumar R, Aniekan M. Ukpong, Akinlolu Akande   +7 more
doaj   +1 more source

Mapping fine-scale seagrass disturbance using bi-temporal UAV-acquired images and multivariate alteration detection

Scientific Reports
Seagrasses provide critical ecosystem services but cumulative human pressure on coastal environments has seen a global decline in their health and extent. Key processes of anthropogenic disturbance can operate at local spatio-temporal scales that are not
Jamie Simpson, Kevin P. Davies, Paul Barber, Eleanor Bruce   +3 more
doaj   +1 more source