WebThe non-homogeneous haze has been introduced in the scene using a professional haze generator that imitates the real conditions of hazy scenes. Additionally, this work presents an objective assessment of … Web去雾 [3].Domain-Aware Unsupervised Hyperspectral Reconstruction for Aerial Image Dehazing. 本次研究主要解决航空图像雾霾问题。 作者提出 SkyGAN,由域感知 hazy-to-hyperspectral(H2H)模块、基于条 …
GID Dataset - GitHub Pages
WebDec 18, 2024 · 航空遥感图像(Aerial Images)目标检测数据集汇总 75009; spark踩坑记——windows环境下spark安装和运行 48483; pycharm加入import路径 36159; Qt入 … WebDescription. Existing Earth Vision datasets are either suitable for semantic segmentation or object detection. iSAID is the first benchmark dataset for instance segmentation in aerial images. This large-scale and densely annotated dataset contains 655,451 object instances for 15 categories across 2,806 high-resolution images. atlanta zoo membership
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WebNov 7, 2024 · In this paper, we propose SkyGAN for haze removal in aerial images. SkyGAN consists of 1) a domain-aware hazy-to-hyperspectral (H2H) module, and 2) a conditional GAN (cGAN) based multi-cue image-to-image translation module (I2I) for dehazing. The proposed H2H module reconstructs several visual bands from RGB … WebMar 30, 2024 · Abstract. Image processing and object detection in aerial images have to deal with a lot of trouble due to the existence of haze, smoke, dust in the atmosphere. These factors can blur objects and ... WebSome examples of hazy image in the dataset are shown in Fig.1. These test images form 50 groups, each with 1 hazy image and 3 corresponding dehazed results. ... View in full-text. atlanta\u0027s mart margie