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Earthquake‐induced chains of geologic hazards: Patterns, mechanisms, and impacts
Large earthquakes initiate chains of surface processes that last much longer than the brief
moments of strong shaking. Most moderate‐and large‐magnitude earthquakes trigger …
moments of strong shaking. Most moderate‐and large‐magnitude earthquakes trigger …
Segmentation for Object-Based Image Analysis (OBIA): A review of algorithms and challenges from remote sensing perspective
Image segmentation is a critical and important step in (GEographic) Object-Based Image
Analysis (GEOBIA or OBIA). The final feature extraction and classification in OBIA is highly …
Analysis (GEOBIA or OBIA). The final feature extraction and classification in OBIA is highly …
Remote sensing image segmentation advances: A meta-analysis
The advances in remote sensing sensors during the last two decades have led to the
production of very high spatial resolution multispectral images. In order to adapt to this rapid …
production of very high spatial resolution multispectral images. In order to adapt to this rapid …
Object-based image analysis in wetland research: A review
I Dronova - Remote Sensing, 2015 - mdpi.com
The applications of object-based image analysis (OBIA) in remote sensing studies of
wetlands have been growing over recent decades, addressing tasks from detection and …
wetlands have been growing over recent decades, addressing tasks from detection and …
Exploring multiscale object-based convolutional neural network (multi-OCNN) for remote sensing image classification at high spatial resolution
Abstract Convolutional Neural Network (CNN) has been increasingly used for land cover
map** of remotely sensed imagery. However, large-area classification using traditional …
map** of remotely sensed imagery. However, large-area classification using traditional …
Change detection-based co-seismic landslide map** through extended morphological profiles and ensemble strategy
Co-seismic landslide map** after earthquake event is essential for emergency rescue,
geohazard prevention, and post-disaster reconstruction. Most co-seismic landslide map** …
geohazard prevention, and post-disaster reconstruction. Most co-seismic landslide map** …
Deep learning-based approach for landform classification from integrated data sources of digital elevation model and imagery
Landform classification is one of the most important aspects in geomorphological research,
dividing the Earth's surface into diverse geomorphological types. Thus, an accurate …
dividing the Earth's surface into diverse geomorphological types. Thus, an accurate …
[HTML][HTML] Comparing supervised and unsupervised multiresolution segmentation approaches for extracting buildings from very high resolution imagery
Although multiresolution segmentation (MRS) is a powerful technique for dealing with very
high resolution imagery, some of the image objects that it generates do not match the …
high resolution imagery, some of the image objects that it generates do not match the …
Evaluating the influence of geo-environmental factors on gully erosion in a semi-arid region of Iran: An integrated framework
Despite the importance of soil erosion in sustainable development goals in arid and semi-
arid areas, the study of the geo-environmental conditions and factors influencing gully …
arid areas, the study of the geo-environmental conditions and factors influencing gully …