Results 21 to 30 of about 556 (115)
Semantic Information Collaboration Network for Semantic Change Detection in Remote Sensing Images
Semantic change detection (SCD) extends the traditional change detection (CD) task to simultaneously identify the change areas and their corresponding land cover categories in bi-temporal images.
Xiaogang Ning +5 more
doaj +1 more source
Semantic Change Detection (SCD) identifies binary change information and determines the ‘from-to’ types, revealing not only ‘where’ changes occurred but also ‘what’ the changes are.
Zhenghao Jiang +5 more
doaj +1 more source
Changes in cropland are among the most widespread transitions on the Earth surface, significantly impacting food security, ecological conservation, and social stability.
Anjin Dai +6 more
doaj +1 more source
Semantic change detection (SCD) represents a challenging task in the interpretation of remote sensing images (RSIs), with the goal of identifying change regions and extracting semantic information from bitemporal RSIs simultaneously.
Xibing Zuo +6 more
doaj +1 more source
The Earth is experiencing continuous anthropogenic and natural changes. Very high resolution (VHR) remote sensing imagery-based change detection provides an effective means to monitor these dynamics at fine spatial scales.
Kai Tang +4 more
doaj +1 more source
Remote Sensing Semantic Change Detection Model for Improving Objects Completeness
Semantic change detection (SCD) extends beyond binary change detection by not only discerning the locations of change areas, but also offering the alterations in land-cover/land-use types.
Wanying Yang, Yali Cheng, Wenbo Xu
doaj +1 more source
Semantic change detection (SCD) in remote sensing images can simultaneously obtain changed areas and the transformation of ground objects, providing finer grained information support in ground observation applications.
Qing Ding +4 more
doaj +1 more source
Investigating semantic change detection (SCD) is critical for tracking the evolution of urban and rural conversion. However, existing methods applied to SCD face two pivotal challenges: (1) modeling of semantic correlations among bi-temporal features is ...
Jiang Long +4 more
doaj +1 more source
Semantic Change Detection (SCD) in Remote Sensing Images (RSI) aims to identify changes in the type of Land Cover/Land Use (LCLU). The “from-to” information of the acquired image has more profound practical significance than Binary Change ...
Yuhang Zhang +4 more
doaj +1 more source
Semantic change detection (SCD) analyzes multi-temporal remote sensing images to identify semantic differences in ground objects. However, existing methods struggle to delineate small-scale changes and preserve fine-grained spatial structures due to ...
Siming Pu +7 more
doaj +1 more source

