Results 1 to 10 of about 556 (115)

Multitask semantic change detection guided by spatiotemporal semantic interaction [PDF]

Scientific Reports
Semantic Change Detection (SCD) aims to accurately identify the change areas and their categories in dual-time images, which is more complex and challenging than traditional binary change detection tasks.
Yinqing Wang, Liangjun Zhao, Yueming Hu, Hui Dai, Yuanyang Zhang   +4 more
doaj   +2 more sources

Spatial-Temporal Semantic Perception Network for Remote Sensing Image Semantic Change Detection

Remote Sensing, 2023
Semantic change detection (SCD) is a challenging task in remote sensing, which aims to locate and identify changes between the bi-temporal images, providing detailed “from-to” change information.
You He, Hanchao Zhang, Xiaogang Ning, Ruiqian Zhang, Dong Chang, Minghui Hao   +5 more
doaj   +1 more source

Dual-Task Semantic Change Detection for Remote Sensing Images Using the Generative Change Field Module

Remote Sensing, 2021
With the advent of very-high-resolution remote sensing images, semantic change detection (SCD) based on deep learning has become a research hotspot in recent years.
Shao Xiang, Mi Wang, Xiaofan Jiang, Guangqi Xie, Zhiqi Zhang, Peng Tang   +5 more
doaj   +1 more source

TTNet: A Temporal-Transform Network for Semantic Change Detection Based on Bi-Temporal Remote Sensing Images

Remote Sensing, 2023
Semantic change detection (SCD) holds a critical place in remote sensing image interpretation, as it aims to locate changing regions and identify their associated land cover classes.
Liangcun Jiang, Feng Li, Li Huang, Feifei Peng, Lei Hu   +4 more
doaj   +1 more source

A transformer-based Siamese network and an open optical dataset for semantic change detection of remote sensing images

International Journal of Digital Earth, 2022
Recent change detection (CD) methods focus on the extraction of deep change semantic features. However, existing methods overlook the fine-grained features and have the poor ability to capture long-range space–time information, which leads to the micro ...
Panli Yuan, Qingzhan Zhao, Xingbiao Zhao, Xuewen Wang, Xuefeng Long, Yuchen Zheng   +5 more
doaj   +1 more source

Multi-temporal urban semantic understanding based on GF-2 remote sensing imagery: from tri-temporal datasets to multi-task mapping

International Journal of Digital Earth, 2023
High resolution satellite images are becoming increasingly available for urban multi-temporal semantic understanding. However, few datasets can be used for land-use/land-cover (LULC) classification, binary change detection (BCD) and semantic change ...
Sunan Shi, Yanfei Zhong, Yinhe Liu, Jue Wang, Yuting Wan, Ji Zhao, Pengyuan Lv, Liangpei Zhang, Deren Li   +8 more
doaj   +1 more source

MTSCD-Net: A network based on multi-task learning for semantic change detection of bitemporal remote sensing images

International Journal of Applied Earth Observations and Geoinformation, 2023
In recent years, change detection has been one of the hot research topics within the field of remote sensing. Previous studies have concentrated on binary change detection (BCD), but it doesn’t meet the current needs. Therefore, semantic change detection
Fengzhi Cui, Jie Jiang
doaj   +1 more source

A Multi-Task Consistency Enhancement Network for Semantic Change Detection in HR Remote Sensing Images and Application of Non-Agriculturalization

Remote Sensing, 2023
It is challenging to investigate semantic change detection (SCD) in bi-temporal high-resolution (HR) remote sensing images. For the non-changing surfaces in the same location of bi-temporal images, existing SCD methods often obtain the results with ...
Haihan Lin, Xiaoqin Wang, Mengmeng Li, Dehua Huang, Ruijiao Wu   +4 more
doaj   +1 more source

SCDNET: A novel convolutional network for semantic change detection in high resolution optical remote sensing imagery

International Journal of Applied Earth Observations and Geoinformation, 2021
With the continuing improvement of remote-sensing (RS) sensors, it is crucial to monitor Earth surface changes at fine scale and in great detail. Thus, semantic change detection (SCD), which is capable of locating and identifying “from-to” change ...
Daifeng Peng, Lorenzo Bruzzone, Yongjun Zhang, Haiyan Guan, Pengfei He   +4 more
doaj   +1 more source

SMNet: Symmetric Multi-Task Network for Semantic Change Detection in Remote Sensing Images Based on CNN and Transformer

Remote Sensing, 2023
Deep learning has achieved great success in remote sensing image change detection (CD). However, most methods focus only on the changed regions of images and cannot accurately identify their detailed semantic categories.
Yiting Niu, Haitao Guo, Jun Lu, Lei Ding, Donghang Yu   +4 more
doaj   +1 more source