Segmentation for Object-Based Image Analysis (OBIA): A review of algorithms and challenges from remote sensing perspective
Image segmentation is a critical and important step in (GEographic) Object-Based Image
Analysis (GEOBIA or OBIA). The final feature extraction and classification in OBIA is highly …
Analysis (GEOBIA or OBIA). The final feature extraction and classification in OBIA is highly …
[HTML][HTML] A review of supervised object-based land-cover image classification
L Ma, M Li, X Ma, L Cheng, P Du, Y Liu - ISPRS Journal of Photogrammetry …, 2017 - Elsevier
Object-based image classification for land-cover map** purposes using remote-sensing
imagery has attracted significant attention in recent years. Numerous studies conducted over …
imagery has attracted significant attention in recent years. Numerous studies conducted over …
Training set size, scale, and features in Geographic Object-Based Image Analysis of very high resolution unmanned aerial vehicle imagery
L Ma, L Cheng, M Li, Y Liu, X Ma - ISPRS Journal of Photogrammetry and …, 2015 - Elsevier
Abstract Unmanned Aerial Vehicle (UAV) has been used increasingly for natural resource
applications in recent years due to their greater availability and the miniaturization of …
applications in recent years due to their greater availability and the miniaturization of …
Supervised methods of image segmentation accuracy assessment in land cover map**
Land cover map** via image classification is sometimes realized through object-based
image analysis. Objects are typically constructed by partitioning imagery into spatially …
image analysis. Objects are typically constructed by partitioning imagery into spatially …
A hybrid image segmentation method for building extraction from high-resolution RGB images
Buildings are the most striking artificial features, and extracting buildings becomes critical for
many service-providing agencies. Although improvements have been achieved, building …
many service-providing agencies. Although improvements have been achieved, building …
Map** and monitoring of land cover/land use (LCLU) changes in the crozon peninsula (Brittany, France) from 2007 to 2018 by machine learning algorithms (support …
G ** crop types using sentinel-2 data machine learning and monitoring crop phenology with sentinel-1 backscatter time series in pays de Brest, Brittany, France
G ** and monitoring of specific crop types are …
Geospatial-based machine learning techniques for land use and land cover map** using a high-resolution unmanned aerial vehicle image
Bangladesh is primarily an agricultural country where technological advancement in the
agricultural sector can ensure the acceleration of economic growth and ensure long-term …
agricultural sector can ensure the acceleration of economic growth and ensure long-term …