Effective anomaly space for hyperspectral anomaly detection
CI Chang - IEEE Transactions on Geoscience and Remote …, 2022 - ieeexplore.ieee.org
Due to unavailability of prior knowledge about anomalies, background suppression (BS) is a
crucial factor in anomaly detection (AD) evaluation. The difficulty in dealing with BS arises …
crucial factor in anomaly detection (AD) evaluation. The difficulty in dealing with BS arises …
Co-seismic landslide mapping using Sentinel-2 10-m fused NIR narrow, red-edge, and SWIR bands
An accurate and timely inventory for major landslides triggered by seismic events is
essential for hazard assessment and risk governance. Sentinel-2 MultiSpectral Instrument …
essential for hazard assessment and risk governance. Sentinel-2 MultiSpectral Instrument …
[HTML][HTML] Spectral–spatial urban target detection for hyperspectral remote sensing data using artificial neural network
Hyperspectral remote sensing is opening new gateways for a multitude of applications with
an added advantage of high spectral and spatial resolution. Target detection of urban …
an added advantage of high spectral and spatial resolution. Target detection of urban …
[PDF][PDF] Detection and Identification of Camouflaged Targets using Hyperspectral and LiDAR data.
Camouflaging is the process of merging the target with the background with the aim to
reduce/delay its detection. It can be done using different materials/methods such as …
reduce/delay its detection. It can be done using different materials/methods such as …
Detection of engineered surfaces using deep learning approach in AVIRIS-NG hyperspectral data
Hyperspectral remote sensing is opening new avenues for multitude of urban applications.
This paper extends target detection method for extraction of engineered surfaces or urban …
This paper extends target detection method for extraction of engineered surfaces or urban …
Selection of the best hybrid spectral similarity measure for characterising marine oil spills from multi-platform hyperspectral datasets
Marine oil pollution causes major economic crises in major industrial sectors like fishing,
shipping and tourism. It affects marine life and human even decades after spillage …
shipping and tourism. It affects marine life and human even decades after spillage …
[HTML][HTML] Identification of most useful spectral ranges in improvement of target detection using hyperspectral data
Hyperspectral imaging, because of its high spectral content, has been used in many
surveillance and intelligence applications. Major issues in exploitation of HSI data, however …
surveillance and intelligence applications. Major issues in exploitation of HSI data, however …
Band selection for plastic classification using NIR hyperspectral image
H Kim, S Kim - 2016 16th International Conference on Control …, 2016 - ieeexplore.ieee.org
Recently, there are many plastics classification methods, because the importance of
recycling increases. In case of plastic, optical methods such as Near infrared (NIR) …
recycling increases. In case of plastic, optical methods such as Near infrared (NIR) …
Comparative Assessment of Target-Detection Algorithms for Urban Targets Using Hyperspectral Data
Hyperspectral data present better opportunities to exploit the treasure of spectral and spatial
content that lies within their spectral bands. Hyperspectral data are increasingly being …
content that lies within their spectral bands. Hyperspectral data are increasingly being …
Classification of Remotely Sensed Data Using Fisher's Linear Discriminant
BR Shivakumar, GP Raghudathesh - International Conference on VLSI …, 2023 - Springer
In place of time-consuming and expensive data collecting on the ground, remote sensing
allows for rapid, repeated coverage of enormous areas, with widespread practical …
allows for rapid, repeated coverage of enormous areas, with widespread practical …