Deep learning-based change detection in remote sensing images: A review
Images gathered from different satellites are vastly available these days due to the fast
development of remote sensing (RS) technology. These images significantly enhance the …
development of remote sensing (RS) technology. These images significantly enhance the …
Change detection based on artificial intelligence: State-of-the-art and challenges
Change detection based on remote sensing (RS) data is an important method of detecting
changes on the Earth's surface and has a wide range of applications in urban planning …
changes on the Earth's surface and has a wide range of applications in urban planning …
Towards a polyalgorithm for land use change detection
One way of analyzing satellite images for land use and land cover change (LULCC) is time
series analysis (TSA). Most of the many TSA based LULCC algorithms proposed in the …
series analysis (TSA). Most of the many TSA based LULCC algorithms proposed in the …
An assessment of forest cover change and its driving forces in the syrian coastal region during a period of conflict, 2010 to 2020
MA Mohamed - Land, 2021 - mdpi.com
In Syria, 76% of the forests are located in the Syrian coast region. This region is witnessing a
rapid depletion of forest cover during the conflict that broke out in mid-2011. To date, there …
rapid depletion of forest cover during the conflict that broke out in mid-2011. To date, there …
A novel approach to unsupervised change detection based on hybrid spectral difference
L Yan, W Xia, Z Zhao, Y Wang - Remote Sensing, 2018 - mdpi.com
The most commonly used features in unsupervised change detection are spectral
characteristics. Traditional methods describe the degree of the change between two pixels …
characteristics. Traditional methods describe the degree of the change between two pixels …
Automated detection of buildings from heterogeneous VHR satellite images for rapid response to natural disasters
S Li, H Tang, X Huang, T Mao, X Niu - Remote Sensing, 2017 - mdpi.com
In this paper, we present a novel approach for automatically detecting buildings from
multiple heterogeneous and uncalibrated very high-resolution (VHR) satellite images for a …
multiple heterogeneous and uncalibrated very high-resolution (VHR) satellite images for a …
Estimating artificial impervious surface percentage in Asia by fusing multi-temporal MODIS and VIIRS nighttime light data
Impervious surfaces have important effects on the natural environment, including promoting
hydrological run-off and impeding evapotranspiration, as well as increasing the urban heat …
hydrological run-off and impeding evapotranspiration, as well as increasing the urban heat …
On the use of standardized multi-temporal indices for monitoring disturbance and ecosystem moisture stress across multiple earth observation systems in the google …
In this work we explore three methods for quantifying ecosystem vegetation responses
spatially and temporally using Google's Earth Engine, implementing an Ecosystem Moisture …
spatially and temporally using Google's Earth Engine, implementing an Ecosystem Moisture …
High‐Resolution Remote‐Sensing Image‐Change Detection Based on Morphological Attribute Profiles and Decision Fusion
C Wang, H Liu, Y Shen, K Zhao, H Xing, H Wu - Complexity, 2020 - Wiley Online Library
Change detection (CD) is essential for accurate understanding of land surface changes with
multitemporal Earth observation data. Due to the great advantages in spatial information …
multitemporal Earth observation data. Due to the great advantages in spatial information …
Unsupervised change detection in remote sensing images using CNN based transfer learning
J Paul, BU Shankar, B Bhattacharyya… - Advances in Computing …, 2021 - Springer
Change detection (CD) using remote sensing images have gained much attention in recent
past due to its diverse applications. Devising reliable CD techniques that integrate huge …
past due to its diverse applications. Devising reliable CD techniques that integrate huge …