Using hyperspectral image enhancement method for small size object detection on the sea surface

Abstract

Small size object detection in vast ocean plays an important role in rescues after accident or disaster. One of the promising approach is a hyperspectral imaging system (HIS). However, due to the limitation of HIS sensor's resolution, interested target might occupy only several pixels or less in the image, it's difficult to detect small object, moreover the sun glint of the sea surface make it even more difficult. In this paper, we propose an image analysis technique suitable for the computer aided detection of small objects on the sea surface, especially humans. We firstly separate objects from background by adapting a previously proposed image enhancement method and then apply a linear unmixing method to define the endmember's spectrum. At last, we use spectral angle mapping method to classify presented objects and thus detect small size object. The proposed system provides the following results for supporting the detection of humans and other small objects on the sea surface; an image with spectral color enhancement, alerts of various objects, and the human detection results. This multilayered approach is expected to reduce the oversight, i.e., false negative error. Results of the proposed technique have been compared with existent methods, and our method has successfully enhance the hyperspectral image, and detect small object from the sea surface with high human detection rate, shows the ability to further detection of human in this study). The result are less influenced by the sun glint effects. This study helps recognizing small objects on the sea surface, and it leads to advances in the rescuing system using aircraft equipped HIS technology.

YOLO-ESFM:A Multi-scale YOLO Algorithm for Sea Surface Object Detection.

“…To address these issues, we propose the ZIOU loss function, which is expressed through Equations ( 5)- (7). In these equations, the penalty term v1 represents the aspect ratio of the rectangular frame using the inverse of the exponential function.…”

“…However, Performing object detection within the inherently complex and dynamic marine environment poses a significant challenge. Factors such as water reflection, variable lighting conditions, and intricate weather patterns can impede the precision of object detection [7]. Moreover, the detection of small-scale and low-contrast objects poses particular difficulties due to their limited visual cues and the expansive nature of the marine backdrop.…”

Application of Spectral Mixture Analysis to Vessel Monitoring Using Airborne Hyperspectral Data

“…In contrast to satellite data, airborne measurements can provide high spatial resolution image data. A previous study focused on the detection of floating objects such as non-vessels and surfboards with diverse colors using the vertex component analysis (VCA) method as a representative classification technique [37]. A hyperspectral method for ship detection has been validated by conducting a cruise campaign as well as airborne measurements using an airborne visible/infrared imaging spectrometer (AVIRIS) hyperspectral sensor [38].…”

Context-free hyperspectral image enhancement for wide-field optical biomarker visualization

“…As a consequence, these methods have been tested in ex vivo samples of breast tissue tumorectomies [15], palm vein visualization [16], multispectral images of Hematoxylin-and-Eosin (H&E) stained histological sections [17,18], as well as in vivo fluorescence-guided surgery in animal models [19]. Other methods, less related to colorimetry or biomedical optics, use the same methodology as a core component in anomaly detection for HSI remote sensing images [20], detecting bruises in apples in the Vis-NIR range [21], or for background segmentation for human detection algorithms using HSI images of the ocean [22].…”