Sonar display features

A marine electronic device for analysis of sonar data, wherein the marine electronic device comprises:

• one or more processors;
• a memory including computer program code configured to, when executed, cause the one or more processors to:
• receive sonar data, wherein an object is represented within the sonar data;
• receive additional non-sonar data from a data source other than a sonar transducer assembly, wherein the additional non-sonar data includes data other than position data or orientation data;
• determine one or more object characteristics of the object using the sonar data and the additional non-sonar data, wherein the one or more object characteristics comprises at least one of a shape of the object, a depth of the object, an environment of the object, a velocity of the object, a temperature of water, an intensity of the sonar data, an intensity of the additional non-sonar data, behavior of the object, a geographical area, a time of day, or a time of year;
• determine an estimated object-type for the object that is represented within the sonar data using the one or more object characteristics_by utilizing a model to determine the estimated object-type for the object, wherein the model is formed based on historical comparisons of a historical object-type with historical sonar data and historical additional non-sonar data, and wherein the model is developed through machine learning utilizing artificial intelligence;
• generate a sonar image based on the sonar data, wherein the sonar image includes a representation of the object;
• cause display of the sonar image;
• cause an indication of the estimated object-type for the object to be provided to a user, wherein the indication of the estimated object-type is correlated to the representation of the object in the sonar image;
• and
• causing presentation of information on the display within the sonar image about the estimated object-type to the user, wherein the presented information comprises the determined estimated object-type and a probability that the object has the determined estimated object-type.

A method for the analysis of sonar data, the method comprising:

• receiving sonar data from one or more sonar transducer assemblies, wherein an object is represented within the sonar data;
• receiving additional non-sonar data from a data source other than the one or more sonar transducer assemblies, wherein the additional non-sonar data includes data other than position data or orientation data;
• determining one or more object characteristics of the object using the sonar data and the additional non-sonar data, wherein the one or more object characteristics comprises at least one of a shape of the object, a depth of the object, an environment of the object, a velocity of the object, a temperature of water, an intensity of the sonar data, an intensity of the additional non-sonar data, behavior of the object, a geographical area, a time of day, or a time of year;
• determining an estimated object-type for the object that is represented within the sonar data using the one or more object characteristics by utilizing a model that is formed based on historical comparisons of a historical object-type with historical sonar data and historical additional non-sonar data, and wherein the model is developed through machine learning utilizing artificial intelligence;
• generating a sonar image based on the sonar data, wherein the sonar image includes a representation of the object;
• causing display of the sonar image;
• causing an indication of the estimated object-type for the object to be provided to a user, wherein the indication of the estimated object-type is correlated to the representation of the object in the sonar image;
• and
• causing presentation of information on the display within the sonar image about the estimated object-type to the user, wherein the presented information comprises the determined estimated object-type and a probability that the object has the determined estimated object-type.