"I can't share some of [my] experiences because there is a classification on them.
For this purpose we used Geographic Object-Based Image Analysis (GEOBIA) and a Random Forest classification on a set of variables comprising texture, shape, slope, neighbour and spectral information.
We propose that titles and abstracts alone, as opposed to full text or annotated documents, provide sufficient information content for a reliable initial classification on a large scale avoiding unrequired complexity as is required in our use cases.
The objective was to produce an ecological peatland classification on a class hierarchical level which would be as detailed as possible, and could be accurately mapped with remotely sensed hyperspectal data.
To make a probabilistic classification on a new pattern x, the probability of x belonging to each class ω α needs to be computed, with x assigned to the class with the highest probability value: ω α ( x ) = arg max α ′ ∈ ( 0, 1, …, α, …, M - 1 ) P ( ω α ′ | x ).
Congratulations to you both on your marriage, your years together, your book and, of course, for that small act of opting in to a new classification on a tiny little box on a big, long form!
Note that, alternatively, we could have considered, as a classification rule, a ratio based on.
After applying probabilistic SVM classification on an image, a label that indicates its class and a confidence score that indicates the degree of confidence in the decision are obtained.
The first makes a classification based on a random forest algorithm, while the second is based on an adaptive fuzzy partition algorithm.
