Pixel level fusion techniques for SAR and optical images: A review

SC Kulkarni, PP Rege - Information Fusion, 2020 - Elsevier
Image Fusion is a process of combining two or more images into a single image which is
more informative and hence more useful from an interpretation point of view. With the rapid …

Spectral unmixing

C Quintano, A Fernández-Manso… - … Journal of Remote …, 2012 - Taylor & Francis
Satellite imagery is formed by finite digital numbers representing a specific location of
ground surface in which each matrix element is denominated as a picture element or pixel …

Remote sensing image fusion with deep convolutional neural network

Z Shao, J Cai - IEEE journal of selected topics in applied earth …, 2018 - ieeexplore.ieee.org
Remote sensing images with different spatial and spectral resolution, such as panchromatic
(PAN) images and multispectral (MS) images, can be captured by many earth-observing …

[图书][B] LiDAR remote sensing and applications

P Dong, Q Chen - 2017 - taylorfrancis.com
Ideal for both undergraduate and graduate students in the fields of geography, forestry,
ecology, geographic information science, remote sensing, and photogrammetric …

MLR-DBPFN: A multi-scale low rank deep back projection fusion network for anti-noise hyperspectral and multispectral image fusion

W Sun, K Ren, X Meng, G Yang, C Xiao… - IEEE transactions on …, 2022 - ieeexplore.ieee.org
Fusing low spatial resolution (LR) hyperspectral (HS) data and high spatial resolution (HR)
multispectral (MS) data aims to obtain HR HS data. However, due to bad weather and the …

Improving the spatial prediction of soil salinity in arid regions using wavelet transformation and support vector regression models

R Taghizadeh-Mehrjardi, K Schmidt, N Toomanian… - Geoderma, 2021 - Elsevier
The low potential of agricultural productivity in the majority of central Iran is mainly attributed
to high levels of soil salinity. To increase agricultural productivity, while preventing any …

A CNN-based fusion method for feature extraction from sentinel data

G Scarpa, M Gargiulo, A Mazza, R Gaetano - Remote Sensing, 2018 - mdpi.com
Sensitivity to weather conditions, and specially to clouds, is a severe limiting factor to the use
of optical remote sensing for Earth monitoring applications. A possible alternative is to …

[HTML][HTML] Application of multi-sensor satellite data for exploration of Zn–Pb sulfide mineralization in the Franklinian Basin, North Greenland

A Beiranvand Pour, TYS Park, Y Park, JK Hong… - Remote Sensing, 2018 - mdpi.com
Geological mapping and mineral exploration programs in the High Arctic have been
naturally hindered by its remoteness and hostile climate conditions. The Franklinian Basin in …

[图书][B] Remote sensing image fusion: A practical guide

C Pohl, J Van Genderen - 2016 - taylorfrancis.com
Remote Sensing Image Fusion: A Practical Guide gives an introduction to remote sensing
image fusion providing an overview on the sensors and applications. It describes data …

Orogenic gold in transpression and transtension zones: Field and remote sensing studies of the barramiya–mueilha sector, Egypt

B Zoheir, MA El-Wahed, AB Pour, A Abdelnasser - Remote Sensing, 2019 - mdpi.com
Multi-sensor satellite imagery data promote fast, cost-efficient regional geological mapping
that constantly forms a criterion for successful gold exploration programs in harsh and …