LAND COVER CLASSIFICATION OF SATELLITE IMAGES USING CONTEXTUAL INFORMATION

17 citations as recorded by crossref.

1. Detection of early plant stress responses in hyperspectral images J. Behmann et al. 10.1016/j.isprsjprs.2014.03.016
2. Geo-localization using Volumetric Representations of Overhead Imagery O. Ozcanli et al. 10.1007/s11263-015-0850-9
3. Skipping the real world: Classification of PolSAR images without explicit feature extraction R. Hänsch & O. Hellwich 10.1016/j.isprsjprs.2017.11.022
4. Land Cover Semantic Annotation Derived from High-Resolution SAR Images C. Dumitru et al. 10.1109/JSTARS.2016.2549557
5. Geometry Aware Evaluation of Handcrafted Superpixel-Based Features and Convolutional Neural Networks for Land Cover Mapping Using Satellite Imagery D. Derksen et al. 10.3390/rs12030513
6. Learning Aerial Image Segmentation From Online Maps P. Kaiser et al. 10.1109/TGRS.2017.2719738
7. SiameseDenseU-Net-based Semantic Segmentation of Urban Remote Sensing Images R. Dong et al. 10.1155/2020/1515630
8. Features, Color Spaces, and Boosting: New Insights on Semantic Classification of Remote Sensing Images P. Tokarczyk et al. 10.1109/TGRS.2014.2321423
9. The Effects of Land Use and Land Cover Geoinformation Raster Generalization in the Analysis of LUCC in Portugal B. Meneses et al. 10.3390/ijgi7100390
10. Picture This: A Deep Learning Model for Operational Real Estate Emissions B. Gloria & B. Höhn 10.1080/19498276.2023.2251982
11. Where do university graduates live? – A computer vision approach using satellite images D. Koch et al. 10.1007/s10489-021-02268-8
12. Superpixel-Based Multiscale CNN Approach Toward Multiclass Object Segmentation From UAV-Captured Aerial Images T. Behera et al. 10.1109/JSTARS.2023.3239119
13. Riverbank Filtration Site Suitability Selection Using Spatial Data Techniques: Case Study for Kota Lama Kiri, Kuala Kangsar M. Abdul Razak et al. 10.4028/www.scientific.net/AMM.802.557
14. Segmentation of aerial images for plausible detail synthesis O. Argudo et al. 10.1016/j.cag.2017.11.004
15. Development of Semantic Maps of Vegetation Cover from UAV Images to Support Planning and Management in Fine-Grained Fire-Prone Landscapes B. Trenčanová et al. 10.3390/rs14051262
16. Mapping terrestrial oil spill impact using machine learning random forest and Landsat 8 OLI imagery: a case site within the Niger Delta region of Nigeria M. Ozigis et al. 10.1007/s11356-018-3824-y
17. Superpixel-Based Roughness Measure for Multispectral Satellite Image Segmentation C. Ortiz Toro et al. 10.3390/rs71114620