Feature is the most essential attribute for recognizing target in image processing.This paper proposes to recognize ship target by utilizing a fuzzy neural network processing on its geometry

moment and texture features.First

we simply depict geometry feature and moment feature especially Hu moment.After that

we respectively extract and analyze geometry

Hu moment and texture feature of ship target in simulated and satellite observed data

as well as ship target acquired by automatic target detection.By analyzing the ship target’s features

the feature set（or subset）

comprising geometry

Hu moment and texture feature

can be used to recognize ship target.Fuzzy-neural network method can combine fuzzy set’s advantages with neural network’s

by which feature-based classification and recognition for targets in images can be implemented validly.The paper depicts a fuzzy-neural network method with principal-subordinate neuro for classification and recognition at first

and then

utilize the method to classify and recognize

basing on single category feature and multi-source（multi-temporal）data fusion.Experiments’ results indicates that classification and recognition for large ship can be implemented validly by utilizing fuzzy-neural network methods based on large ships’ geometry features

moment features and texture features.Furthermore

using multi-source data fusion

the classification and recognition effect can be improved.