Currently, during the long-distance communication between the sea fishing vessels and the buoys on the sea, problems exist such as easy missing of information, high cost, unfriendly communication software interface, and so on. In order to solve these problems, the structure of IDP related communication satellite data and Huffman coding were studied in this paper. The Image classification method of Huffman encoding compression was used to code 40 sets of typical data that were transited from satellite signal server. The results showed that the highest compression rate for communication data reached 0.58 and 40% of cost was saved. As the system integrated satellite positioning, particular data of buoy could be displayed in real time on the customized client of computer, which generated perfect human-computer interface, and the delay time of control command was only 5 seconds. With compression algorithm deploying to satellite communication terminal, the complete remote data was received in real time and sonar image was clear; the overall effect of data compression was remarkable and the desired results were achieved. By far, the buoy has been applied on some of tuna seiners in South China Sea, and fishing boats could communicate effectively with the buoys and receive real-time information on tuna fish via marine client, and the cost is acceptable.