Remote sensing imagery segmentation in object-based analysis: A review of methods, optimization, and quality evaluation over the past 20 years
Object-based image analysis (OBIA) has become a key research topic for decades and
represents an attractive paradigm leading to accurate features classification and recognition …
represents an attractive paradigm leading to accurate features classification and recognition …
Earth observation data cubes for Brazil: Requirements, methodology and products
Recently, remote sensing image time series analysis has being widely used to investigate
the dynamics of environments over time. Many studies have combined image time series …
the dynamics of environments over time. Many studies have combined image time series …
[HTML][HTML] Geoscience-aware deep learning: A new paradigm for remote sensing
Abstract Information extraction is a key activity for remote sensing images. A common
distinction exists between knowledge-driven and data-driven methods. Knowledge-driven …
distinction exists between knowledge-driven and data-driven methods. Knowledge-driven …
A new object-class based gap-filling method for PlanetScope satellite image time series
PlanetScope CubeSats data with a 3-m resolution, frequent revisits, and global coverage
have provided an unprecedented opportunity to advance land surface monitoring over the …
have provided an unprecedented opportunity to advance land surface monitoring over the …
Modeling and prediction of land use land cover change dynamics based on spatio-temporal analysis of optical and radar time series of remotely sensed images
S Farshidi, F Farnood Ahmadi, V Sadeghi - Earth Science Informatics, 2023 - Springer
Land use/land cover (LULC) has changed dramatically in recent years, especially in areas
that have experienced severe climate change and population growth. Evaluation of LULC …
that have experienced severe climate change and population growth. Evaluation of LULC …
Spatiotemporal Big Data Empower Community Modeling, Monitoring, Evaluation, and Optimization for Sustainable Community Development: A review of challenges …
X Zhang, X Dong, Q Zhou, S Du - IEEE Geoscience and …, 2024 - ieeexplore.ieee.org
Sustainable development goals (SDGs) promoted by the United Nations guide the survival
and development of human beings. Sustainable community development is an important …
and development of human beings. Sustainable community development is an important …
Random Forest Classifier Algorithm of Geographic Resources Analysis Support System Geographic Information System for Satellite Image Processing: Case Study of …
P Lemenkova - Coasts, 2024 - mdpi.com
Mapping coastal regions is important for environmental assessment and for monitoring
spatio-temporal changes. Although traditional cartographic methods using a geographic …
spatio-temporal changes. Although traditional cartographic methods using a geographic …
A Coupled Temporal–Spectral–Spatial Multidimensional Information Change Detection Framework Method: A Case of the 1990–2020 Tianjin, China
L Zhu, Z Guo, H Xing, W Sun - IEEE Journal of Selected Topics …, 2023 - ieeexplore.ieee.org
Satellite image time-series change detection methods have become an effective means of
obtaining information on land cover change. However, the temporal, spectral, and spatial …
obtaining information on land cover change. However, the temporal, spectral, and spatial …
Time-series China urban land use mapping (2016–2022): An approach for achieving spatial-consistency and semantic-transition rationality in temporal domain
S Xiong, X Zhang, Y Lei, G Tan, H Wang… - Remote Sensing of …, 2024 - Elsevier
The global urbanization trend is geographically manifested through city expansion and the
renewal of internal urban structures and functions. Time-series urban land use (ULU) maps …
renewal of internal urban structures and functions. Time-series urban land use (ULU) maps …
Gan-fuzzynn: optimization based generative adversarial network and fuzzy neural network classification for change detection in satellite images
KR Gite, P Gupta - Sensing and Imaging, 2023 - Springer
Nowadays, change detection with satellite images plays an essential role in urban planning,
resources survey, and understanding global environmental changes. However, numerous …
resources survey, and understanding global environmental changes. However, numerous …