Multimodal classification of remote sensing images: A review and future directions
Earth observation through remote sensing images allows the accurate characterization and
identification of materials on the surface from space and airborne platforms. Multiple and …
identification of materials on the surface from space and airborne platforms. Multiple and …
Semantic image segmentation: Two decades of research
Semantic image segmentation (SiS) plays a fundamental role in a broad variety of computer
vision applications, providing key information for the global understanding of an image. This …
vision applications, providing key information for the global understanding of an image. This …
New frontiers in spectral-spatial hyperspectral image classification: The latest advances based on mathematical morphology, Markov random fields, segmentation …
In recent years, airborne and spaceborne hyperspectral imaging systems have advanced in
terms of spectral and spatial resolution, which makes the data sets they produce a valuable …
terms of spectral and spatial resolution, which makes the data sets they produce a valuable …
[HTML][HTML] A goal-driven unsupervised image segmentation method combining graph-based processing and Markov random fields
Image segmentation is the process of partitioning a digital image into a set of homogeneous
regions (according to some homogeneity criterion) to facilitate a subsequent higher-level …
regions (according to some homogeneity criterion) to facilitate a subsequent higher-level …
[HTML][HTML] Advances in medical image segmentation: A comprehensive review of traditional, deep learning and hybrid approaches
Y Xu, R Quan, W Xu, Y Huang, X Chen, F Liu - Bioengineering, 2024 - mdpi.com
Medical image segmentation plays a critical role in accurate diagnosis and treatment
planning, enabling precise analysis across a wide range of clinical tasks. This review begins …
planning, enabling precise analysis across a wide range of clinical tasks. This review begins …
Automatic discovery and geotagging of objects from street view imagery
Many applications, such as autonomous navigation, urban planning, and asset monitoring,
rely on the availability of accurate information about objects and their geolocations. In this …
rely on the availability of accurate information about objects and their geolocations. In this …
Damage detection with image processing: A comparative study
Large structures, such as bridges, highways, etc., need to be inspected to evaluate their
actual physical and functional condition, to predict future conditions, and to help decision …
actual physical and functional condition, to predict future conditions, and to help decision …
Semantic segmentation of remote-sensing images through fully convolutional neural networks and hierarchical probabilistic graphical models
Deep learning (DL) is currently the dominant approach to image classification and
segmentation, but the performances of DL methods are remarkably influenced by the …
segmentation, but the performances of DL methods are remarkably influenced by the …
Review of obstacle detection systems for collision avoidance of autonomous underwater vehicles tested in a real environment
R Kot - Electronics, 2022 - mdpi.com
The high efficiency of obstacle detection system (ODS) is essential to obtain the high
performance of autonomous underwater vehicles (AUVs) carrying out a mission in a …
performance of autonomous underwater vehicles (AUVs) carrying out a mission in a …
Multisensor and multiresolution remote sensing image classification through a causal hierarchical markov framework and decision tree ensembles
In this paper, a hierarchical probabilistic graphical model is proposed to tackle joint
classification of multiresolution and multisensor remote sensing images of the same scene …
classification of multiresolution and multisensor remote sensing images of the same scene …