Land-use/land-cover change detection based on a Siamese global learning framework for high spatial resolution remote sensing imagery
Due to the abundant features of high spatial resolution (HSR) remote sensing images,
change detection of these images is crucial to understanding the land-use and land-cover …
change detection of these images is crucial to understanding the land-use and land-cover …
[HTML][HTML] Road extraction in remote sensing data: A survey
Automated extraction of roads from remotely sensed data come forth various usages ranging
from digital twins for smart cities, intelligent transportation, urban planning, autonomous …
from digital twins for smart cities, intelligent transportation, urban planning, autonomous …
Split depth-wise separable graph-convolution network for road extraction in complex environments from high-resolution remote-sensing images
Road information from high-resolution remote-sensing images is widely used in various
fields, and deep-learning-based methods have effectively shown high road-extraction …
fields, and deep-learning-based methods have effectively shown high road-extraction …
Segment anything, from space?
Recently, the first foundation model developed specifically for image segmentation tasks
was developed, termed the" Segment Anything Model"(SAM). SAM can segment objects in …
was developed, termed the" Segment Anything Model"(SAM). SAM can segment objects in …
Knowledge-guided land pattern depiction for urban land use map**: A case study of Chinese cities
Accurate urban land-use maps, which reflect the complicated land-use pattern implied in the
function and distribution of land-cover types, play an important role in urban analysis. In …
function and distribution of land-cover types, play an important role in urban analysis. In …
[HTML][HTML] SemiRoadExNet: A semi-supervised network for road extraction from remote sensing imagery via adversarial learning
Road extraction from remote sensing imagery is a popular and frontier research focus, since
road information plays an essential role in application fields, such as urban management …
road information plays an essential role in application fields, such as urban management …
RADANet: Road augmented deformable attention network for road extraction from complex high-resolution remote-sensing images
L Dai, G Zhang, R Zhang - IEEE Transactions on Geoscience …, 2023 - ieeexplore.ieee.org
Extracting roads from complex high-resolution remote sensing images to update road
networks has become a recent research focus. How to apply the contextual spatial …
networks has become a recent research focus. How to apply the contextual spatial …
[HTML][HTML] Multi-modal fusion of satellite and street-view images for urban village classification based on a dual-branch deep neural network
With the rapid urbanization process in China, numerous urban villages have been
appeared, which are surrounded by the newly-built urban blocks. Due to the high population …
appeared, which are surrounded by the newly-built urban blocks. Due to the high population …