Your English writing platform
Discover LudwigExact(21)
Attempts to resolve individual flowers were less successful due to the complexity of the flowering patterns within the image scenes.
The goal of the first experiment was to identify the colors of static pictures' main features and then to interpret the image scenes.
From a cognitive perspective this would be consistent with the fact that these two tasks are simpler than the interpretation of image scenes.
Based on the phenological information from long-term field surveys, five Landsat 8 image scenes (from March to October) were processed to classify the main crop types.
The abundant spatial information offered by very high resolution (VHR) images makes it possible to identify the semantic classes of image scenes.
Image scenes are represented by a word frequency with three kinds of multi-temporal learned dictionary, i.e., the separate dictionary, the stacked dictionary, and the union dictionary.
Similar(39)
Figure 8 Original hyperspectral image scene.
Fig. 8 Despeckling for spatial complicated SAR image scene.
Figure 9 Hyperspectral image scene embedded simulated targets.
Let be a point in the image scene.
Many of these procedures attempt to maximize the joint posterior distribution on the image scene.
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com