English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

Reliable ship detection plays an important role in both military and civil fields. However, it makes the task difficult with high-resolution\udremote sensing images with complex background and various types of ships with different poses, shapes and scales. Related works\udmostly used gray and shape features to detect ships, which obtain results with poor robustness and efficiency. To detect ships more\udautomatically and robustly, we propose a novel ship detection method based on the convolutional neural networks (CNNs), called SCNN,\udfed with specifically designed proposals extracted from the ship model combined with an improved saliency detection method.\udFirstly we creatively propose two ship models, the “V” ship head model and the “||” ship body one, to localize the ship proposals from\udthe line segments extracted from a test image. Next, for offshore ships with relatively small sizes, which cannot be efficiently picked out\udby the ship models due to the lack of reliable line segments, we propose an improved saliency detection method to find these proposals.\udTherefore, these two kinds of ship proposals are fed to the trained CNN for robust and efficient detection. Experimental results on a\udlarge amount of representative remote sensing images with different kinds of ships with varied poses, shapes and scales demonstrate\udthe efficiency and robustness of our proposed S-CNN-Based ship detector

the international archives of the photogrammetry, remote sensing and spatial information sciences/international archives of the photogrammetry, remote sensing and spatial information sciences

S-CNN-BASED SHIP DETECTION FROM HIGH-RESOLUTION REMOTE SENSING IMAGES