Yessy Arvelyna

Detection of a particular object from environmental images under various conditions

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.

Image processing technique for detection of a particular object from motion images

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.

New Application of Wavelet Transform for Internal Wave Detection SAR and Optical Image: A Case Study in Japan Waters

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.

Detection of a particular object from motion images under bad condition

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.

Multi-parametric observation of biological contribution to surface structure of the water in archipelagos

The multi-parametric data observed by the Synthetic Aperture Radar (SAR) and the Moderate Image Scanning Radiometer (MODIS) were applied to analyze the water distribution in the Philippine Archipelago to build a new radar imaging model. The SAR provides information on the surface structure of the water affected by various phenomena such as currents, internal waves, swells, surface winds, rain falls, natural films, and so on. One difficult parameter among them is the natural film, which exhibits a damping effect to the surface roughness from breaking waves to capillary ones. The chlorophyll-a concentration observed by satellite sensors such as MODIS provide estimates of the standing stock of phytoplankton, which is considered as the parameter estimating the standing stock of zooplankton. The standing stocks of phytoplankton and zooplankton could be a proportional parameter to the amount of the natural film. In this study, a frequency dependent multi-parametric equation was proposed to rebuild the surface roughness with various parameters in the spectrum domain. Possible validation study was conducted with the relationship between the sum of power spectrum for certain frequency range with chlorophyll-a concentration on the Mindanao Sea and the Surigao Strait.

The application of wavelet transform for oceanic feature detection in SAR and optical image

Wavelet transform has been applied for multi resolution analysis of oceanic feature in ERS1/2 SAR and ASTER image data over the Tsushima Strait. Various wavelet transforms, e.g. Haar, Daubechies, Symlet, Coif, Biorthogonal, and Meyer wavelet, have been tested comparably with different level of synthesized image on horizontal, diagonal, and vertical detail, and approximation to study the internal wave characteristic in image. The results show that higher scale processing of image and higher number of vanishing moments of wavelet function such as Coiflet wavelet, coif5, Daubechies wavelet, db5, Symlet wavelet, sym8, and Discrete Meyer wavelet, are proposed for smoother wave crest. The best result of detection is performed by Discrete Meyer wavelet transform, which adapts FIR filter, orthogonal and biorthogonal basis. Thus, it liable for smoothness of feature, space save coding and avoid dephasing in image.

Multisatellite data observation for internal wave detection in the southwest coast of Japan

We observed sea surface signature of internal waves in ERS SAR and ASTER image over southwest of Japan during 193-2004 period. Wavelet transform has been applied for multi resolution of internal wave detection in image. Proposed method based on Meyer wavelet and Canny edge detector has been useful to delineate internal wave feature in ERS SAR and ASTER image, maintain the continuity of crest line while reduce small strikes from noise. Internal wave features were detected as elongated pattern in image with higher wavelet coefficient (>36) than sea surface (<10) on horizontal and vertical detail coefficient of image transforms at level 2-5, provided the accuracy in classification over than 80%. Spectral reflectance of internal wave signature was derived from ASTER image data. We found out that internal wave feature has higher reflectance at VNIR channel, between 520-660n, and lower reflectance at SWIR channel, between 760-2430nm, due to the absorption and scattering of material. The highest and the lowest reflectance were respectively 660nm and 760-810nm. The observation results show that the internal waves were mostly occurred at north coast off Kitakyushu and NW/W/SW/E coast off Tsushima Island on June to September period, during summer when the layers are strongly stratified. The length of the internal waves was detected between 6-28 km and wavelength between 120m-1.28km. The directions of propagation were varied between NW-SW at eastern channel and N-SW at western channel of Tsushima Strait. The areas where internal wave signatures were detected coincide with T/P data where sea level anomaly data steeply increased between 2-5 cm.

Preliminary study of internal wave effects to chlorophyll distribution in the Lombok Strait and adjacent areas

This paper studies the effect of internal wave in the Lombok Strait to chlorophyll distribution in the surrounded areas using ERS SAR, ASTER, SeaWiFS and AVHRR-NOAA images data during 1996-2004 periods. The observation results shows that the internal waves were propagated to the south and the north of strait and mostly occurred during transitional season from dry to wet and wet season (rainy season) between September to December when the layers are strongly stratified. Wavelet transform of image using Meyer wavelet analysis is applied for internal wave detection in ERS SAR and ASTER images, for symmetric extension of data at the image boundaries, to prevent discontinuities by a periodic wrapping of data in fast algorithm and space-saving code. Internal wave created elongated pattern in detail and approximation of image from level 2 to 5 and retained value between 2-4.59 times compared to sea surface, provided accuracy in classification over than 80%. In segmentation process, the Canny edge detector is applied on the approximation image at level two to derive internal wave signature in image. The proposed method can extract the internal wave signature, maintain the continuity of crest line while reduce small strikes from noise. The segmentation result, i.e. the length between crest and trough, is used to compute the internal wave induced current using Korteweg-de Vries (KdV) equation. On ERS SAR data contains surface signature of internal wave (2001/8/20), we calculated that internal wave propagation speed was 1.2 m/s and internal wave induced current was 0.56 m/s, respectively. From the observation of ERS SAR and SeaWiFS images data, we found out that the distribution of maximum chlorophyll area at southern coastline off Bali Island when strong internal wave induced current occurred in south of the Lombok Strait was distributed further to westward, i.e. from 9.25°-10.25°LS, 115°-116.25°SE to 8.8°-10.7°LS, 114.5°-116°SE, and surface chlorophyll concentration near coastal area, i.e. area 8.8°-9.25° LS, 114.5°-115°SE, increased. The preliminary result of this study concludes that the internal waves presumably affect chlorophyll distribution to westward (from 9.25°-10.25°LS, 115°-116.25°SE to 8.8°-10.7°LS, 114.5°-116°SE) in the south coast off Bali Island and increase surface chlorophyll concentration near coastal area (8.8°-9.25° LS, 114.5°-115°SE).