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 …
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 …
First experience with Sentinel-2 data for crop and tree species classifications in central Europe
The study presents the preliminary results of two classification exercises assessing the
capabilities of pre-operational (August 2015) Sentinel-2 (S2) data for mapping crop types …
capabilities of pre-operational (August 2015) Sentinel-2 (S2) data for mapping crop types …
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
mapping of remotely sensed imagery. However, large-area classification using traditional …
mapping of remotely sensed imagery. However, large-area classification using traditional …
Scale parameter selection by spatial statistics for GeOBIA: Using mean-shift based multi-scale segmentation as an example
D Ming, J Li, J Wang, M Zhang - ISPRS Journal of Photogrammetry and …, 2015 - Elsevier
Abstract Geo-Object-Based Image Analysis (GEOBIA) is becoming an increasingly important
technology for information extraction from remote sensing images. Multi-scale image …
technology for information extraction from remote sensing images. Multi-scale image …
Stable mean-shift algorithm and its application to the segmentation of arbitrarily large remote sensing images
J Michel, D Youssefi, M Grizonnet - IEEE Transactions on …, 2014 - ieeexplore.ieee.org
Segmentation of real-world remote sensing images is challenging because of the large size
of those data, particularly for very high resolution imagery. However, a lot of high-level …
of those data, particularly for very high resolution imagery. However, a lot of high-level …
[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 …
Superpixel based land cover classification of VHR satellite image combining multi-scale CNN and scale parameter estimation
Y Chen, D Ming, X Lv - Earth Science Informatics, 2019 - Springer
Traditional classification methods, which use low-level features, have failed to gain
satisfactory classification results of very high spatial resolution (VHR) remote sensing …
satisfactory classification results of very high spatial resolution (VHR) remote sensing …
Delineation of cultivated land parcels based on deep convolutional networks and geographical thematic scene division of remotely sensed images
L Xu, D Ming, T Du, Y Chen, D Dong, C Zhou - Computers and Electronics …, 2022 - Elsevier
Extraction of cultivated land information from high spatial resolution remote sensing images
is increasingly becoming an important approach to digitization and informatization in …
is increasingly becoming an important approach to digitization and informatization in …
Optimal segmentation of high-resolution remote sensing image by combining superpixels with the minimum spanning tree
M Wang, Z Dong, Y Cheng, D Li - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
Image segmentation is the foundation of object-based image analysis, and many
researchers have sought optimal segmentation results. The initial image oversegmentation …
researchers have sought optimal segmentation results. The initial image oversegmentation …