Results 11 to 20 of about 556 (115)

HRMS-SCD:A High-Resolution Multi-Scene Satellite Imagery Dataset for Comprehensive Land-Cover Semantic Change Detection [PDF]

ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Semantic change detection (SCD) focuses on identifying changes in surface coverage while simultaneously classifying the types of changes. This approach provides detailed information valuable for urban planning, environmental monitoring, and other ...
P. Guo, P. Guo, S. Yang, H. Zhang, X. Huang, X. Ning, Y. Han, R. Zhang, M. Hao   +8 more
doaj   +1 more source

Multitask Change-Aware Network and Semisupervised Enhanced Multistep Training for Semantic Change Detection

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Semantic change detection (SCD) aims to find out where and what changes between a pair of co-registered remote sensing images. Compared to binary change detection, which only predicts the location of changes, SCD provides detailed from-to change ...
Yifei Si, Jie Jiang
doaj   +1 more source

MBFI-Net: Multi-Branch Feature Interaction Network for Semantic Change Detection

Remote Sensing
Semantic change detection (SCD) effectively captures ground object transition information within change regions, delivering more comprehensive and detailed results than binary change detection (BCD) tasks.
Qing Ding, Fengyan Wang, Kaiyuan Sun, Weilong Chen, Mingchang Wang, Gui Cheng   +5 more
doaj   +1 more source

A new change detection method for wetlands based on Bi-Temporal Semantic Reasoning UNet++ in Dongting Lake, China

Ecological Indicators, 2023
The utility of semantic change detection in myriad change scenarios has garnered considerable attention in contemporary research; however, its applicability in monitoring alterations in wetland ecosystems remains incompletely elucidated.
Yulin Pan, Hui Lin, Zhuo Zang, Jiangping Long, Meng Zhang, Xiaodong Xu, Wenhan Jiang   +6 more
doaj   +1 more source

Semantic-centric change detection framework: considering spatiotemporal heterogeneity and spatiotemporal correlation of land cover

International Journal of Digital Earth
The semantic change detection (SCD) task aims to detect ‘from-to’ change types of land cover occurring over time in registered bitemporal remote sensing images.
Shasha Hou, Guo Zhang, Hao Cui, Xue Li, Yujia Chen, Gui Gao, Bingxuan Guo, Deren Li   +7 more
doaj   +1 more source

SSTNet: A Network Based on Modeling of Semantic-Spatiotemporal Information for Semantic Change Detection of Remote Sensing Images

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Semantic change detection (SCD) aiming to localize changes and identify their types is a complex pixel-level classification task. In SCD, detecting changes of narrow and long objects (NLOs) common in various scenarios is more challenging than detecting ...
Qingyu Xia, Yiming Yan, Wei Hou, Baoyu Ge, Nan Su, Shou Feng, Chunhui Zhao   +6 more
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WH-MAVS: A Novel Dataset and Deep Learning Benchmark for Multiple Land Use and Land Cover Applications

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022
Over the past decade, many excellent data sharing efforts have enriched the remote sensing scene classification (SC) methods. These datasets have achieved great success in complex high-level semantic information interpretation.
Jingwen Yuan, Lixiang Ru, Shugen Wang, Chen Wu   +3 more
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SCDVit: Semantic Change Detection Based on Sam-Vit and Semantic Consistency

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
In recent years, change detection has been a hot research topic in remote sensing. Previous research has focused on binary change detection (BCD), limiting its practical applications.
Ming Chen, Wanshou Jiang
doaj   +1 more source

TextSCD: Leveraging Text-based Semantic Guidance for Remote Sensing Image Semantic Change Detection [PDF]

ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Semantic change detection (SCD) in remote sensing image aims to identify semantic alterations between bi-temporal images captured at the same geographic location.
H. Huang, Q. Cheng, Q. Cheng, D. Zhu, X. Huang, Q. Zhao   +5 more
doaj   +1 more source

MFA-SCDNet: A Semantic Change Detection Network for Visible and Infrared Image Pairs

Remote Sensing
Semantic Change Detection (SCD) in remote sensing imagery is a common technique for monitoring surface dynamics. However, geospatial data acquisition increasingly involves the collection of visible and infrared images.
Xingyu Li, Jiulu Gong, Jianxiong Wen, Zepeng Wang   +3 more
doaj   +1 more source