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 …
Mapping roofing with asbestos-containing material by using remote sensing imagery and machine learning-based image classification: A state-of-the-art review
Building roofing produced with asbestos-containing materials is a significant concern due to
its detrimental health hazard implications. Efficiently locating asbestos roofing is essential to …
its detrimental health hazard implications. Efficiently locating asbestos roofing is essential to …
Integrating fuzzy object based image analysis and ant colony optimization for road extraction from remotely sensed images
Updated road network as a crucial part of the transportation database plays an important
role in various applications. Thus, increasing the automation of the road extraction …
role in various applications. Thus, increasing the automation of the road extraction …
Pixel-and Object-Based ensemble learning for forest burn severity using USGS FIREMON and Mediterranean condition dNBRs in Aegean ecosystem (Turkey)
Forest fires cause aerosol emissions and biomass burning that pose major threats to the
ozone layer. The precise estimation of burned area with the degree of burn severity plays a …
ozone layer. The precise estimation of burned area with the degree of burn severity plays a …
Multi-seasonal evaluation of hybrid poplar (P. Deltoides) plantations using Worldview-3 imagery and state-of-the-art ensemble learning algorithms
Forest resources are the primary components of the ecosystem environment. Poplars
(Populus sp.), a member of the fast-growing trees, are one of the most productive forest tree …
(Populus sp.), a member of the fast-growing trees, are one of the most productive forest tree …
Segmentation scale effect analysis in the object-oriented method of high-spatial-resolution image classification
S Hao, Y Cui, J Wang - Sensors, 2021 - mdpi.com
High-spatial-resolution images play an important role in land cover classification, and object-
based image analysis (OBIA) presents a good method of processing high-spatial-resolution …
based image analysis (OBIA) presents a good method of processing high-spatial-resolution …
A novel hybrid methodology integrating pixel-and object-based techniques for mapping land use and land cover from high-resolution satellite data
MY Ozturk, I Colkesen - International Journal of Remote Sensing, 2024 - Taylor & Francis
The classification of very high-resolution satellite imagery remains a focal point in remote
sensing, attracting increased attention across diverse scientific disciplines. Various …
sensing, attracting increased attention across diverse scientific disciplines. Various …
[HTML][HTML] Image segmentation parameter selection and ant colony optimization for date palm tree detection and mapping from very-high-spatial-resolution aerial …
Accurate mapping of date palm trees is essential for their sustainable management, yield
estimation, and environmental studies. In this study, we integrated geographic object-based …
estimation, and environmental studies. In this study, we integrated geographic object-based …
Hierarchical Object-Focused and Grid-Based Deep Unsupervised Segmentation Method for High-Resolution Remote Sensing Images
X Pan, J Xu, J Zhao, X Li - Remote Sensing, 2022 - mdpi.com
Since the unsupervised segmentation of high-resolution remote sensing is a highly
challenging task, the introduction of deep learning and processing may be a sensible choice …
challenging task, the introduction of deep learning and processing may be a sensible choice …
Evaluating waterbird migratory stopover habitat suitability in the Tumen River Estuary at the junction of China, North Korea and Russia using multi-source remote …
Y Liu, J Shi, R Jin, W Zhu, Y Guo, B Guo… - Journal of …, 2024 - Elsevier
Over the past three decades, numerous waterbird habitats have experienced considerable
degradation as a result of the persistent deterioration of wetland ecosystems. Habitat …
degradation as a result of the persistent deterioration of wetland ecosystems. Habitat …