Land use classification using multi-year Sentinel-2 images with deep learning ensemble network
Sign Up to like & getrecommendations! Published in 2025 at "Scientific Reports"
DOI: 10.1038/s41598-025-12512-7
Abstract: Accurate land use classification is essential for urban planning, environmental monitoring, and agricultural management. Sentinel-2 satellite imagery provides rich spatial and spectral information suitable for this purpose. This study proposes a deep learning ensemble network… read more here.
Keywords: classification; year; multi year; land use ... See more keywords
Synthesizing location semantics from street view images to improve urban land-use classification
Sign Up to like & getrecommendations! Published in 2021 at "International Journal of Geographical Information Science"
DOI: 10.1080/13658816.2020.1831515
Abstract: ABSTRACT Land-use maps are instrumental to inform urban planning and environmental research. Street view images (SVIs) have shown great potential for automated land-use classification for land-use mapping. However, previous studies overlooked SVI-derived location contextual information… read more here.
Keywords: land use; semantics; use classification; land ... See more keywords
DAKBNet: Multiscale Fusion With Dynamic Assembly Kernels and Bilateral Feature Enhancement for Land Use Classification of Remote Sensing Images
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2025.3545365
Abstract: Land use classification poses significant challenges when applied to remote sensing images. Due to the complex textures, spatial layouts, and scale variations of images, many methods solve these problems by ignoring the bias between low-level… read more here.
Keywords: level; low level; remote sensing; land use ... See more keywords
Land-Use Classification via Extreme Learning Classifier Based on Deep Convolutional Features
Sign Up to like & getrecommendations! Published in 2017 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2017.2672643
Abstract: One of the challenging issues in high-resolution remote sensing images is classifying land-use scenes with high quality and accuracy. An effective feature extractor and classifier can boost classification accuracy in scene classification. This letter proposes… read more here.
Keywords: classification; classifier; extreme learning; use classification ... See more keywords
Transfer Learning With Fully Pretrained Deep Convolution Networks for Land-Use Classification
Sign Up to like & getrecommendations! Published in 2017 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2017.2691013
Abstract: In recent years, transfer learning with pretrained convolutional networks (CNets) has been successfully applied to land-use classification with high spatial resolution (HSR) imagery. The commonly used transfer CNets partially use the feature descriptor part of… read more here.
Keywords: pretrained cnets; land use; fully pretrained; use classification ... See more keywords
Land Use Classification With Engineered Features
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2020.3046308
Abstract: We report on a methodological framework that analyzes land-use images with engineered (manually designed) features. As older feature engineering methods suffered from excessive computation of their features, we therefore, introduce techniques that are faster and… read more here.
Keywords: classification engineered; engineered features; use; land use ... See more keywords
A Domain Adaptation Method for Land Use Classification Based on Improved HR-Net
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2023.3235050
Abstract: In recent years, the recognition accuracy of a semantic segmentation model on natural images can yield a very high level. Thus, it is of great significance to utilize semantic segmentation algorithm to obtain land use… read more here.
Keywords: domain adaptation; improved net; domain; land use ... See more keywords