Classification subnetwork—Predicts the probability of an object being present at each spatial location for each anchor box and object class. Regression subnetwork— Regresses the offset for the bounding boxes from the anchor boxes for each ground-truth object. Focal Loss Focal Loss (FL) is an enh...
GEOBIA uses fuzzy decision rules and membership values as the basis of object-based classification, which makes it a "soft classifier" approach. Due to the segmentation process, scale regulation, and fuzzy decision rules, it is difficult to assign true or false labels to objects in a binary mo...
Land cover maps are produced in line with specific classification systems based on the optical and physical conditions of the ground surface and serve as primary data for assessing the current status of an area. At the urban level, the maps are used as a scientific basis for city planning, ...
environments Article Classification of Land Use on Sand-Dune Topography by Object-Based Analysis, Digital Photogrammetry, and GIS Analysis in the Horqin Sandy Land, China Takafumi Miyasaka 1,*, Toshiya Okuro 2, Xueyong Zhao 3 and Kazuhiko Takeuchi 4 1 Institute of Agriculture, Tokyo University ...
La classification d’objets requiert les entrées suivantes : Un raster en entrée qui contient les bandes spectrales Une classe d’entités qui définit la localisation (par exemple, un contour ou une emprise) de chaque entitéVous pouvez calculer la classification d’objets via des réseaux ...
You can set up rulesets, which are a set of pre-defined steps to segment and classify objects. Similar toModelBuilder in ArcGIS, it steps through each process until it finishes. Alternatively, Trimble ECognition has anearest neighbor classificationwhere you add and classify based on defined sampl...
difficult to show the dynamic changes on a yearly scale. At the same time, these monitoring methods are based on the interpretation of multi-phase remote sensing images, with extensive manual interpretation and classification, which may lead to the accumulation and propagation of classification error...
Classification subnetwork—Predicts the probability of an object being present at each spatial location for each anchor box and object class. Regression subnetwork— Regresses the offset for the bounding boxes from the anchor boxes for each ground-truth object. ...
Classification subnetwork—Predicts the probability of an object being present at each spatial location for each anchor box and object class. Regression subnetwork— Regresses the offset for the bounding boxes from the anchor boxes for each ground-truth object. ...
Classification subnetwork—Predicts the probability of an object being present at each spatial location for each anchor box and object class. Regression subnetwork— Regresses the offset for the bounding boxes from the anchor boxes for each ground-truth object. Focal Loss Focal Loss (FL) is an enh...