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images
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6
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按文献类别分组
期刊
(6)
按栏目分组
期刊
(6)
按年份分组
2023
(6)
按来源分组
Remote Sensing
(4)
Earth Science Informatics
(2)
关键词
EGMT-CD: Edge-Guided Multimodal Transformers Change Detection from Satellite and Aerial
Images
作者:
Yunfan
Xiang
Xiangyu
Tian
Yue
Xu
Xiaokun
Guan
Zhengchao
Chen
来源:
Remote Sensing
年份:
2023
文献类型 :
期刊
关键词:
sensing
detection
images
edge
Transformer
feature
change
remote
alignment
heterogeneous
描述:
Change detection from heterogeneous satellite and aerial
images
plays a progressively important
EGMT-CD: Edge-Guided Multimodal Transformers Change Detection from Satellite and Aerial
Images
作者:
Yunfan
Xiang
Xiangyu
Tian
Yue
Xu
Xiaokun
Guan
Zhengchao
Chen
来源:
Remote Sensing
年份:
2023
文献类型 :
期刊
关键词:
sensing
detection
images
edge
Transformer
feature
change
remote
alignment
heterogeneous
描述:
Change detection from heterogeneous satellite and aerial
images
plays a progressively important
Vegetation Type Based on High Spatial Resolution Aerial
Images
作者:
Shiou
Li
Xianyun
Fei
Peilong
Chen
Zhen
Wang
Yajun
Gao
Kai
Cheng
Huilong
Wang
Yuanzhi
Zhang
来源:
Remote Sensing
年份:
2023
文献类型 :
期刊
关键词:
based
image
sensing
deep
images
vegetation
learning
type
classification
aerial
remote
mountain
high
Analysis
spatial
object
描述:
vegetation type classification, especially using high-spatial-resolution remote sensing
images
. T
A deep learning-based technique for firm classification and domain adaptation in land cover classification using time-series aerial
images
作者:
Kalita
Indrajit
Chakraborty
Shounak
Reddy
Talla
Giridhara
Ganesh
Roy
Moumita
来源:
Earth Science Informatics
年份:
2023
文献类型 :
期刊
关键词:
Convolutional
Series
images
LSTMs
Attention
adaptation
Time
datasets
mechanism
Domain
temporal
multi
描述:
) satellite
images
. For this dual objective, an attention-based deep learning mechanism combined with t
Vegetation Type Based on High Spatial Resolution Aerial
Images
作者:
Shiou
Li
Xianyun
Fei
Peilong
Chen
Zhen
Wang
Yajun
Gao
Kai
Cheng
Huilong
Wang
Yuanzhi
Zhang
来源:
Remote Sensing
年份:
2023
文献类型 :
期刊
关键词:
based
image
sensing
deep
images
vegetation
learning
type
classification
aerial
remote
mountain
high
Analysis
spatial
object
描述:
vegetation type classification, especially using high-spatial-resolution remote sensing
images
. T
A deep learning-based technique for firm classification and domain adaptation in land cover classification using time-series aerial
images
作者:
Kalita
Indrajit
Chakraborty
Shounak
Reddy
Talla
Giridhara
Ganesh
Roy
Moumita
来源:
Earth Science Informatics
年份:
2023
文献类型 :
期刊
关键词:
Convolutional
Series
images
LSTMs
Attention
adaptation
Time
datasets
mechanism
Domain
temporal
multi
描述:
) satellite
images
. For this dual objective, an attention-based deep learning mechanism combined with t
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