Segmentation for Object-Based Image Analysis (OBIA): A review of algorithms and challenges from remote sensing perspective
MD Hossain, D Chen - ISPRS Journal of Photogrammetry and Remote …, 2019 - Elsevier
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 …
[HTML][HTML] Segmentation of large-scale remotely sensed images on a Spark platform: A strategy for handling massive image tiles with the MapReduce model
Image segmentation is essential in object-based image analysis. Numerous image
segmentation algorithms have been proposed and widely applied to process remote …
segmentation algorithms have been proposed and widely applied to process remote …
Scale matters: Spatially partitioned unsupervised segmentation parameter optimization for large and heterogeneous satellite images
To classify Very-High-Resolution (VHR) imagery, Geographic Object Based Image Analysis
(GEOBIA) is the most popular method used to produce high quality Land-Use/Land-Cover …
(GEOBIA) is the most popular method used to produce high quality Land-Use/Land-Cover …
A bilevel scale-sets model for hierarchical representation of large remote sensing images
Due to the diversity of geographical objects, it makes great sense to introduce multiscale
segmentation/representation into the analysis and interpretation of high-spatial-resolution …
segmentation/representation into the analysis and interpretation of high-spatial-resolution …
A scalable tile-based framework for region-merging segmentation
Processing large very high-resolution remote sensing images on resource-constrained
devices is a challenging task because of the large size of these data sets. For applications …
devices is a challenging task because of the large size of these data sets. For applications …
Application of the Particle Swarm Algorithm to the Task of Image Segmentation for Remote Sensing of the Earth
I Ruban, H Khudov, O Makoveichuk, I Butko… - IoT Based Control …, 2022 - Springer
The article proposes the application of the particle swarm algorithm to the task of image
segmentation for remote sensing of the Earth. The well-known methods of image …
segmentation for remote sensing of the Earth. The well-known methods of image …
A strategy of parallel seed-based image segmentation algorithms for handling massive image tiles over the spark platform
The volume of remote sensing images continues to grow as image sources become more
diversified and with increasing spatial and spectral resolution. The handling of such large …
diversified and with increasing spatial and spectral resolution. The handling of such large …
Toward an operational framework for fine-scale urban land-cover mapping in Wallonia using submeter remote sensing and ancillary vector data
Encouraged by the EU INSPIRE directive requirements and recommendations, the Walloon
authorities, similar to other EU regional or national authorities, want to develop operational …
authorities, similar to other EU regional or national authorities, want to develop operational …
A cloud computing strategy for region-growing segmentation
PN Happ, GAOP da Costa, C Bentes… - IEEE Journal of …, 2016 - ieeexplore.ieee.org
This paper proposes a distributed strategy for region-growing segmentation of arbitrarily
large images. The strategy is suited for most distributed architectures, including cloud …
large images. The strategy is suited for most distributed architectures, including cloud …
Towards distributed region growing image segmentation based on MapReduce
PN Happ, RS Ferreira, GAOP Costa… - … and Remote Sensing …, 2015 - ieeexplore.ieee.org
Image segmentation is a critical step in image analysis, and usually involves a high
computational cost, especially when dealing with large volumes of data. Given the …
computational cost, especially when dealing with large volumes of data. Given the …