Multiple-window anomaly detection for hyperspectral imagery
Due to advances of hyperspectral imaging sensors many unknown and subtle targets that
cannot be resolved by multispectral imagery can now be uncovered by hyperspectral …
cannot be resolved by multispectral imagery can now be uncovered by hyperspectral …
Construction of a Semiautomatic Contour of Areal Objects on Hyperspectral Satellite Images
B Lei, W Wan, A Nedzved, A Belotserkovsky - Pattern Recognition and …, 2024 - Springer
In this article, we formalize the problem of semiautomatic construction of the contour of area
objects from satellite hyperspectral images and present a solution algorithm using PCA and …
objects from satellite hyperspectral images and present a solution algorithm using PCA and …
Efficient and Scalable Techniques for Multivariate Time Series Analysis and Search
A Kane - 2017 - spectrum.library.concordia.ca
Innovation and advances in technology have led to the growth of time series data at a
phenomenal rate in many applications. Query processing and the analysis of time series …
phenomenal rate in many applications. Query processing and the analysis of time series …
Multiple Window Anomaly Detection
CI Chang, CI Chang - Real-Time Progressive Hyperspectral Image …, 2016 - Springer
Because of advances in hyperspectral imaging sensors, many unknown and subtle targets
that cannot be resolved by multispectral imagery can now be uncovered by hyperspectral …
that cannot be resolved by multispectral imagery can now be uncovered by hyperspectral …