Classification-Based and Rule-Based Methods for Cloud Detection in High Resolution Satellite Imagery

被引：0

作者：

Efendioglu, Mehmet ^{[1
]}

Ozkan, Savas ^{[1
]}

Demirpolat, Caner ^{[1
]}

Teke, Mustafa ^{[1
]}

Kalkan, Kaan ^{[1
]}

机构：

[1] TUBITAK Uzay Teknol Arastirma Enstitusu, Ankara, Turkey

来源：

2018 26TH SIGNAL PROCESSING AND COMMUNICATIONS APPLICATIONS CONFERENCE (SIU) | 2018年

关键词：

Deep Learning; Cloud Detection; Satellite Imagery; LANDSAT; SHADOW;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Cloud cover ratio in electro-optical satellite images is a critical factor for the usability of the images. First step to assess the usability of satellite images is cloud detection for the estimation of a cloud coverage from the analyses and/or removing the clouds from images. Satellite imagery providers supply these cloud ratio and maps for their satellite imagery. In this work, classification-based and rule-based methods are compared for cloud detection in high-resolution satellite imagery. In particular, test images consist of different scenarios such as regular, stereo and cloudy imagery. From the experiments, it has been observed that deep learning-based methods could achieve significant cloud detection performances.

引用

页数：4

共 50 条

[1] Classification-based vehicle detection in high-resolution satellite images
Eikvil, Line
Aurdal, Lars
Koren, Hans
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, 2009, 64 (01) : 65 - 72
[2] Very High Resolution Satellite Image Classification Using Fuzzy Rule-Based Systems
Jabari, Shabnam
Zhang, Yun
ALGORITHMS, 2013, 6 (04) : 762 - 781
[3] Rule-based knowledge discovery of satellite imagery using evolutionary classification tree
Lien, Li-Chuan
Dolgorsuren, Unurjargal
JOURNAL OF PARALLEL AND DISTRIBUTED COMPUTING, 2021, 147 : 132 - 139
[4] Classification-Based Approach for Hybridizing Statistical and Rule-Based Machine Translation
Park, Eun-Jin
Kwon, Oh-Woog
Kim, Kangil
Kim, Young-Kil
ETRI JOURNAL, 2015, 37 (03) : 541 - 550
[5] Gaussian Mixture Model Based Cloud Detection for Chinese High Resolution Satellite Imagery
Kang Y.
Pan L.
Sun M.
Chen Q.
Wang Y.
Pan, Li (panli@whu.edu.cn), 1600, Editorial Board of Medical Journal of Wuhan University (42): : 782 - 788
[6] Rule-based classification of high-resolution imagery over urban areas in New York City
Bhaskaran, Sunil
Nez, Eric
Jimenez, Karolyn
Bhatia, Sanjiv K.
GEOCARTO INTERNATIONAL, 2013, 28 (06) : 527 - 545
[7] RULE-BASED CLASSIFICATION MODELS - FLEXIBLE INTEGRATION OF SATELLITE IMAGERY AND THEMATIC SPATIAL DATA
BOLSTAD, PV
LILLESAND, TM
PHOTOGRAMMETRIC ENGINEERING AND REMOTE SENSING, 1992, 58 (07): : 965 - 971
[8] Fuzzy rule-based classification of remotely sensed imagery
Bárdossy, A
Samaniego, L
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2002, 40 (02): : 362 - 374
[9] Rule-based impervious surface mapping using high spatial resolution imagery
Xu, Hanqiu
INTERNATIONAL JOURNAL OF REMOTE SENSING, 2013, 34 (01) : 27 - 44
[10] Vegetation classification model based on high-resolution satellite imagery
Chen Junying
Tian Qingjiu
REMOTE SENSING OF THE ENVIRONMENT: 15TH NATIONAL SYMPOSIUM ON REMOTE SENSING OF CHINA, 2006, 6200

← 1 2 3 4 5 →