Search

In a current study of environmental information, it is important to detect the particular object from environmental images under various conditions for security such as navigation system of ships, bird-watching for the prevention of various damage, invaders check and human rescue in the marine casualty. This paper deals with the image processing techniques for the detection of the rescue target as a particular object from environmental images. When a marine casualty occurs the detection of the rescue target such as life rafts depends on the visual search of human eyes. It is predicted, however, that human eyes sometimes lose their sight and the ability of the detection falls owing to the long flight and a bad weather. For a practical purpose of the prompt rescue of human life, the development of the searching support system in place of human eyes is required. To realize a new type searching system for the detection of the rescue target, the development of new type image processing techniques in real time manner is important. At the first step of our study, we attempt to develop image processing techniques, in order to accurately detect the rescue target under various

We observed the internal wave features in ERS1/2 SAR and ASTER images data over Japan waters, during 1993-2004 period. The internal wave features were shown in the Tsushima Strait, coast of Izu Peninsula, coast of Ibaraki in east of Honshu, coast of Sado Island in west of Honshu, and southwest and south of Hokkaido. The internal wave feature characteristics in image suggest tidal generation source. At these places, packets of non-linier internal waves were formed over shelf break areas such as ridge and sill. Various wavelet transform, e.g. Haar, Daubechies, Symlet, Coif, Biorthogonal, and Meyer wavelet, are tested comparably to study the internal wave detection in image using multi resolution analysis. Though all of wavelet families can be used for internal wave packet detection, the decomposed feature tends to follow the wavelet function, which compress the first wave crest. To solve this problem, we propose new wavelet function constructed from Damped Oscillation Function. So far this method show good result. Finally, we show the application of KdV model to calculate the nonlinear speed of the internal wave, which can be use to predict the generation of strong current when internal waves occur.

This paper deals with the detection of the rescue target as a particular object from motion images under bad conditions. When shipwrecks occur, the search activities of rescue are done using an airplane. The detection of the rescue target such as a life raft depends on visual search of human eyes. To detect a small rescue target in the wide sea, the searcher man must monitor motion sights in nasty weather. In order to carry out the prompt rescue of human life, development of searching support system using image processing techniques in place of the human eye is required It is very difficult to process the motion images taken by the airplane, because these images are inferior due to shaking of the airplane, sunshine reflections and crest waves under bad conditions. We make a simulation experiment for detection of the rescue target from images. To get basic design data for development of the searching system in the case of a marine casualty, we propose motion image processing techniques using improved S/N ratio and dynamic range of the image data of the rescue target in the motion images under bad conditions

This paper deals with the detection of the rescue target as a particular object from motion images under bad weather conditions. When shipwrecks occur, the searching activities for rescue is done using an airplane. The detection of the rescue target such as life rafts depends on a visual search by human eyes. To detect a small rescue target in a wide sea area, the searching man must monitor motion sights under nasty weather. The human eyes sometimes loses its sight and the ability of detection fails owing to the long flight and the nasty weather. To support the searching activities in the case of a marine casualty, we propose motion image processing techniques using the improved S/N ratio and dynamic range of the image data of the rescue target in the motion images under bad conditions