GEOBIA Achievements and Spatial Opportunities in the Era of Big Earth Observation Data
ISPRS International Journal of Geo-Information, 2019 The primary goal of collecting Earth observation (EO) imagery is to map, analyze, and contribute to an understanding of the status and dynamics of geographic phenomena.
Stefan Lang +4 more
doaj +1 more source
Deep learning for land use and land cover classification from the Ecuadorian Paramo.
International Journal of Digital Earth, 2022 The paramo, plays an important role in our ecosystems as They balance the water resources and can retain substantial quantities of carbon. This research was carried out in the province of Tungurahua, specifically the Quero district. The aim is to develop
Marco Castelo-Cabay +2 more
doaj +1 more source
A Generic Framework for Combining Multiple Segmentations in Geographic Object-Based Image Analysis
ISPRS International Journal of Geo-Information, 2019 The Geographic Object-Based Image Analysis (GEOBIA) paradigm relies strongly on the segmentation concept, i.e., partitioning of an image into regions or objects that are then further analyzed.
Sébastien Lefèvre +2 more
doaj +1 more source
Mapping forest-covered landslides using Geographic Object-Based Image Analysis (GEOBIA), Jena region, Germany [PDF]
Natural Hazards and Earth System SciencesLandslide inventories are crucial for the assessment of landslide susceptibility and hazard. An analysis of old landslides can reveal periods of intensified landslide activity, but the features of these landslides may have diminished over time ...
I. Zangana +4 more
doaj +1 more source
ISPRS International Journal of Geo-Information, 2017 Image interpretation is a major topic in the remote sensing community. With the increasing acquisition of high spatial resolution (HSR) remotely sensed images, incorporating geographic object-based image analysis (GEOBIA) is becoming an important sub ...
Helingjie Huang +4 more
doaj +1 more source
Semi-Supervised Image Classification based on a Multi-Feature Image Query Language [PDF]
The area of Content-Based Image Retrieval (CBIR) deals with a wide range of research disciplines. Being closely related to text retrieval and pattern recognition, the probably most serious issue to be solved is the so-called \semantic gap".
Pein, Raoul Pascal
core +4 more sources
Enhanced spatial pyramid matching using log-polar-based image subdivision and representation [PDF]
, 2010 This paper presents a new model for capturing spatial information for object categorization with bag-of-words (BOW). BOW models have recently become popular for the task of object recognition, owing to their good performance and simplicity. Much work has
Zhang, Edmond Yiwen +3 more
core +1 more source
COMPUTATIONAL TIME MODELLING FOR TREE CROWN EXTRACTION FROM HIGH RESOLUTION IMAGERY USING GEOGRAPHIC OBJECT-BASED IMAGE ANALYSIS [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2019 Image segmentation, unlike most conventional approaches, assesses image pixel information in relation to image contextual information to extract congruent image objects.
J. A. Okojie +3 more
doaj +1 more source
Methods for Measuring Geodiversity in Large Overhead Imagery Datasets
IEEE Access, 2021 Geographic variation in the appearance of objects on Earth is readily observable in remotely sensed imagery (RSI) and somewhat intuitive to understand for most people – many classes of objects (houses, vehicles, crop fields etc.) simply look ...
Aaron M. Wesley, Timothy C. Matisziw
doaj +1 more source
Probabilistic, Features-Based Object Recognition [PDF]
, 2008 Object recognition is of fundamental importance in computer vision. In a few years, pedestrian detection, car detection, and more generally scene recognition will likely be reliable enough to allow fully-automated car navigation, and the human driver ...
Moreels, Pierre
core +1 more source