CNN based sub-pixel mapping for hyperspectral images
Sub-pixel mapping techniques predict the spatial distribution of endmember abundances
which are estimated through spectral unmixing. The sub-pixel mapping and spectral …
which are estimated through spectral unmixing. The sub-pixel mapping and spectral …
Parameter fitting of variogram based on hybrid algorithm of particle swarm and artificial fish swarm
X Zhang, L Lian, F Zhu - Future Generation Computer Systems, 2021 - Elsevier
Variation function is an important tool for describing the spatial correlation characteristics of
regionalized variables in geostatistical methods. Variation function modeling is an important …
regionalized variables in geostatistical methods. Variation function modeling is an important …
Convolutional network architectures for super-resolution/sub-pixel mapping of drone-derived images
Spatial resolution enhancement is a pre-requisite for integrating unmanned aerial vehicle
(UAV) datasets with the data from other sources. However, the mobility of UAV platforms …
(UAV) datasets with the data from other sources. However, the mobility of UAV platforms …
Sub-pixel mapping model based on total variation regularization and learned spatial dictionary
B Msellmi, D Picone, Z Ben Rabah, M Dalla Mura… - Remote Sensing, 2021 - mdpi.com
In this research study, we deal with remote sensing data analysis over high dimensional
space formed by hyperspectral images. This task is generally complex due to the large …
space formed by hyperspectral images. This task is generally complex due to the large …
Texture‐based riverine feature extraction and flood mapping using satellite images
Texture plays a very vital role in water feature extraction from remote sensing satellite
images. High‐resolution satellite images contain abundant textural information, which is …
images. High‐resolution satellite images contain abundant textural information, which is …
A research on the effect of geostatistical texture analysis on image classification accuracy
In order to increase the accuracy results in various remote sensing applications, some
additional parameters of texture information, which can provide information about the spatial …
additional parameters of texture information, which can provide information about the spatial …
[PDF][PDF] Shadow processing technology of agricultural plant video image based on probable learning pixel classification.
C Yang, P Wang, Y Bao - INMATEH-Agricultural Engineering, 2020 - api.inmateh.eu
In order to solve the problem of difficult pre-processing of crop video image shadows, a
probable learning pixel classification method is proposed to study its processing technology …
probable learning pixel classification method is proposed to study its processing technology …