Species-level classification and mapping of a mangrove forest using random forest—utilisation of AVIRIS-NG and sentinel data
Although studies on species-level classification and mapping using multisource data and
machine learning approaches are plenty, the use of data with ideal placement of central …
machine learning approaches are plenty, the use of data with ideal placement of central …
Application of airborne and spaceborne hyperspectral imaging techniques for atmospheric research: Past, present, and future
MA Calin, AC Calin, DN Nicolae - Applied Spectroscopy Reviews, 2021 - Taylor & Francis
Airborne and spaceborne hyperspectral imaging techniques are topics of great interest in
the remote sensing field due to their ability to provide rich spatial and spectral information …
the remote sensing field due to their ability to provide rich spatial and spectral information …
A novel method for detecting soil salinity using AVIRIS-NG imaging spectroscopy and ensemble machine learning
Soil salinization is one of the major land degradation processes spread over millions of
hectares of global land. Hyperspectral Remote Sensing (HRS) coupled with modern data …
hectares of global land. Hyperspectral Remote Sensing (HRS) coupled with modern data …
Low complexity image coding technique for hyperspectral image sensors
S Bajpai - Multimedia Tools and Applications, 2023 - Springer
Memory management and coding complexity are the major challenging issues of any
hyperspectral image sensor. The hyperspectral image compression algorithm plays a …
hyperspectral image sensor. The hyperspectral image compression algorithm plays a …
Low complexity and low memory compression algorithm for hyperspectral image sensors
S Bajpai - Wireless Personal Communications, 2023 - Springer
The 3D-zero memory set partitioned embedded block (3D-ZM-SPECK) is an embedded and
memory-efficient compression algorithm. Through, the 3D-ZM-SPECK does not require any …
memory-efficient compression algorithm. Through, the 3D-ZM-SPECK does not require any …
A low complexity hyperspectral image compression through 3D set partitioned embedded zero block coding
Memory management of the hyperspectral image sensor is a challenging issue. The existing
hyperspectral image compression schemes play a dominant role in minimizing the cost of …
hyperspectral image compression schemes play a dominant role in minimizing the cost of …
[HTML][HTML] A Methodology for CO2 Retrieval Applied to Hyperspectral PRISMA Data
V Romaniello, C Spinetti, M Silvestri, MF Buongiorno - Remote Sensing, 2021 - mdpi.com
The aim of this work is to develop and test a simple methodology for CO2 emission retrieval
applied to hyperspectral PRISMA data. Model simulations are used to infer the best SWIR …
applied to hyperspectral PRISMA data. Model simulations are used to infer the best SWIR …
Can Imaging Spectroscopy Divulge the Process Mechanism of Mineralization? Inferences from the Talc Mineralization, Jahazpur, India
Talc deposits of Jahazpur, Rajasthan, hosted by dolomite, are one of the largest high-quality
talc deposits in India. In the present study, we use AVIRIS-NG datasets to study the link …
talc deposits in India. In the present study, we use AVIRIS-NG datasets to study the link …
Low complexity block tree coding for hyperspectral image sensors
S Bajpai - Multimedia Tools and Applications, 2022 - Springer
Complexity of any onboard hyperspectral image sensor is a challenging issue. The existing
hyperspectral image compression algorithm plays a great role in reducing the data …
hyperspectral image compression algorithm plays a great role in reducing the data …
Estimation of vegetation stress in the mangrove forest using AVIRIS-NG airborne hyperspectral data
This study assessed the potential and demonstrated the applicability of hyperspectral
images from AVIRIS-NG data in mapping the health condition of the Lothian Island estuarine …
images from AVIRIS-NG data in mapping the health condition of the Lothian Island estuarine …