[HTML][HTML] Integrating remote sensing and geospatial big data for urban land use mapping: A review
Remote Sensing (RS) has been used in urban mapping for a long time; however, the
complexity and diversity of urban functional patterns are difficult to be captured by RS only …
complexity and diversity of urban functional patterns are difficult to be captured by RS only …
[HTML][HTML] Land use and land cover mapping in the era of big data
C Zhang, X Li - Land, 2022 - mdpi.com
We are currently living in the era of big data. The volume of collected or archived geospatial
data for land use and land cover (LULC) mapping including remotely sensed satellite …
data for land use and land cover (LULC) mapping including remotely sensed satellite …
Adversarial complementary learning for multisource remote sensing classification
Convolutional neural networks (CNNs) have attracted increasing attention in the field of
multimodal cooperation. Recently, the adoption of CNN-based methods has achieved …
multimodal cooperation. Recently, the adoption of CNN-based methods has achieved …
Urban land-use classification using machine learning classifiers: comparative evaluation and post-classification multi-feature fusion approach
Accurate spatial-temporal mapping of urban land-use and land-cover (LULC) provides
critical information for planning and management of urban environments. While several …
critical information for planning and management of urban environments. While several …
[HTML][HTML] Multi-scale adaptive feature fusion network for semantic segmentation in remote sensing images
Semantic segmentation of high-resolution remote sensing images is highly challenging due
to the presence of a complicated background, irregular target shapes, and similarities in the …
to the presence of a complicated background, irregular target shapes, and similarities in the …
DIResUNet: Architecture for multiclass semantic segmentation of high resolution remote sensing imagery data
Scene understanding is an important task in information extraction from high-resolution
aerial images, an operation which is often involved in remote sensing applications …
aerial images, an operation which is often involved in remote sensing applications …
[HTML][HTML] High-resolution remote sensing image segmentation framework based on attention mechanism and adaptive weighting
Y Liu, Q Zhu, F Cao, J Chen, G Lu - ISPRS International Journal of Geo …, 2021 - mdpi.com
Semantic segmentation has been widely used in the basic task of extracting information from
images. Despite this progress, there are still two challenges:(1) it is difficult for a single-size …
images. Despite this progress, there are still two challenges:(1) it is difficult for a single-size …
CNN cloud detection algorithm based on channel and spatial attention and probabilistic upsampling for remote sensing image
J Zhang, Y Wang, H Wang, J Wu… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
In the field of remote sensing image, how to transmit image information more efficiently with
limited bandwidth has always been a research hotspot. Compared with other ground …
limited bandwidth has always been a research hotspot. Compared with other ground …
Thermal comfort differences between urban villages and formal settlements in Chinese developing cities: A case study in Shenzhen
T Yi, H Wang, C Liu, X Li, J Wu - Science of The Total Environment, 2022 - Elsevier
Rapid urbanization has changed the urban spatial form, which directly leads to the
emergence of urban informal settlements, and the impact on ecological environment is …
emergence of urban informal settlements, and the impact on ecological environment is …