Weakly Supervised Adversarial Training for Remote Sensing Image Cloud and Snow Detection

Autor: Jiajun Yang, Wenyuan Li, Keyan Chen, Zili Liu, Zhenwei Shi, Zhengxia Zou

Publikováno v: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 15206-15221 (2024)

Cloud and snow detection in remote sensing images has advanced significantly with the aid of deep learning methods. However, deep learning methods necessitate a large quantity of labeled data, which consumes a substantial amount of human and material

Externí odkaz: https://doaj.org/article/59a8a6380db04d56a73d8658a0b8f5d5

Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.

Controllably Deep Supervision and Multi-Scale Feature Fusion Network for Cloud and Snow Detection Based on Medium- and High-Resolution Imagery Dataset

Autor: Guangbin Zhang, Xianjun Gao, Yuanwei Yang, Mingwei Wang, Shuhao Ran

Publikováno v: Remote Sensing, Vol 13, Iss 23, p 4805 (2021)

Clouds and snow in remote sensing imageries cover underlying surface information, reducing image availability. Moreover, they interact with each other, decreasing the cloud and snow detection accuracy. In this study, we propose a convolutional neural

Externí odkaz: https://doaj.org/article/049c8ed413be4eccaa88a6319500c3cc

Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.

Cloud and Snow Segmentation in Satellite Images Using an Encoder–Decoder Deep Convolutional Neural Networks

Autor: Lei Ding, Jianfeng Yang, Xun Zhang, Jiansheng Li, Xucheng Zhang, Kai Zheng

Publikováno v: ISPRS International Journal of Geo-Information, Vol 10, Iss 462, p 462 (2021)
ISPRS International Journal of Geo-Information
Volume 10
Issue 7

The segmentation of cloud and snow in satellite images is a key step for subsequent image analysis, interpretation, and other applications. In this paper, a cloud and snow segmentation method based on a deep convolutional neural network (DCNN) with e

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::03c885d38c63a1d3298b0627c87c5d84
https://www.mdpi.com/2220-9964/10/7/462