Soft classification techniques avoid the loss of information characteristic to hard classification techniques when handling mixed pixels. Sub‐pixel mapping is a method …
X Wang, L Sun, A Chehri, Y Song - Remote Sensing, 2023 - mdpi.com
High-resolution images have a wide range of applications in image compression, remote sensing, medical imaging, public safety, and other fields. The primary objective of super …
Y Long, X Wang, M Xu, S Zhang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Spatial resolution is a crucial indicator for measuring the quality of hyperspectral imaging (HSI) and obtaining high-resolution (HR) hyperspectral images without any auxiliary …
Landscape pattern represents a key variable in management and understanding of the environment, as well as driving many environmental models. Remote sensing can be used …
Z Lu, Y Chen - signal, image and video processing, 2022 - Springer
Single image super-resolution (SISR) is the task of inferring a high-resolution image from a single low-resolution image. Recent research on super-resolution has achieved great …
Identification of tree crowns from remote sensing requires detailed spectral information and submeter spatial resolution imagery. Traditional pixel-based classification techniques do not …
F Van der Meer - International Journal of Remote Sensing, 2012 - Taylor & Francis
The random function theory forms the basis of geostatistics and allows modelling of the uncertainty associated with spatial estimation and simulation. Remote sensing involves …
VA Tolpekin, A Stein - IEEE transactions on geoscience and …, 2009 - ieeexplore.ieee.org
This paper explores the effects of class separability in Markov-random-field-based superresolution mapping (SRM). We propose to account for class separability by means of …
A Boucher, PC Kyriakidis - Remote sensing of environment, 2006 - Elsevier
Many satellite images have a coarser spatial resolution than the extent of land cover patterns on the ground, leading to mixed pixels whose composite spectral response consists …