Combing remote sensing information entropy and machine learning for ecological environment assessment of Hefei-Nanjing-Hangzhou region, China

H Zhang, Y Liu, X Li, R Feng, Y Gong, Y Jiang… - Journal of environmental …, 2023 - Elsevier
Urban ecological environment is the basis of citizens' survival and development. A rapid and
objective urban ecological environment assessment (UEEA) plays an important role in the …

Bishift networks for thick cloud removal with multitemporal remote sensing images

C Long, X Li, Y Jing, H Shen - International Journal of …, 2023 - Wiley Online Library
Because of the presence of clouds, the available information in optical remote sensing
images is greatly reduced. These temporal‐based methods are widely used for cloud …

[HTML][HTML] A switched view of Retinex: Deep self-regularized low-light image enhancement

Z Jiang, H Li, L Liu, A Men, H Wang - Neurocomputing, 2021 - Elsevier
Self-regularized low-light image enhancement does not require any normal-light image in
training, thereby freeing from the chains of paired or unpaired training data that are time …

Tensor-based keypoint detection and switching regression model for relative radiometric normalization of bitemporal multispectral images

A Moghimi, T Celik… - International Journal of …, 2022 - Taylor & Francis
In some remote sensing applications, such as unsupervised change detection, bitemporal
multispectral images must be first aligned/harmonized radiometrically. For doing so, Many …

Distortion robust relative radiometric normalization of multitemporal and multisensor remote sensing images using image features

A Moghimi, A Sarmadian… - … on Geoscience and …, 2021 - ieeexplore.ieee.org
In this article, we propose a novel framework to radiometrically correct unregistered
multisensor image pairs based on the extracted feature points with the KAZE detector and …

Forest land cover mapping at a regional scale using multi-temporal sentinel-2 imagery and RF models

L Alonso, J Picos, J Armesto - Remote sensing, 2021 - mdpi.com
Over the last several decades, thanks to improvements in and the diversification of open-
access satellite imagery, land cover mapping techniques have evolved significantly. Notable …

Concatenating wide-parallax satellite orthoimages for simplified regional mapping via utilizing line-point consistency

Z Tu, X Yang, Z Fu, S Gao, G Yang, L Jiang… - … Journal of Remote …, 2023 - Taylor & Francis
Block adjustment is a common way for achieving large-scale mapping from several ortho-
rectified satellite images derived from wide-parallax pushbroom (WPP) imaging. However …

Neural style transfer combined with EfficientDet for thermal surveillance

A Gautam, S Singh - The Visual Computer, 2022 - Springer
Hindrance caused while performing object detection during border or perimeter surveillance
at night due to low resolution and atmospheric noise inside infrared frames, demands for a …

In-Memory Distributed Mosaicking for Large-Scale Remote Sensing Applications with Geo-Gridded Data Staging on Alluxio

Y Ma, J Song, Z Zhang - Remote Sensing, 2022 - mdpi.com
The unprecedented availability of petascale analysis-ready earth observation data has
given rise to a remarkable surge in demand for regional to global environmental studies …

An improved color consistency optimization method based on the reference image contaminated by clouds

Z Hong, C Xu, X Tong, S Liu, R Zhou… - GIScience & Remote …, 2023 - Taylor & Francis
Optimizing color consistency across multiple images is a crucial step in creating accurate
digital orthophoto maps (DOMs). However, current color balance methods that rely on a …