Results 251 to 260 of about 65,450 (292)

Content-based remote sensing image retrieval

SPIE Proceedings, 2005
Content-based image retrieval (CBIR) which provide an effective and advanced means to manage and utilize image database, is one of the most active research topic of image comprehension, image database and computer vision. CBIR system is one of the most important offers of services and applications to Spatial Data Infrastructure (SDI), and SDI will rely
Xiaogang Ning, Deren Li, Weizhi Ye
openaire   +1 more source

MapReduce Based Remote Sensing Image Retrieval Algorithm

International Journal of Database Theory and Application, 2016
The remote sensing images are massively stored, so it is difficult for the traditional single-node mode to meet the real-time requirement for remote sensing image retrieval. In order to improve remote sensing image retrieval efficiency and accuracy, a kind of feature information MapReduce based remote sensing image retrieval algorithm is proposed in ...
Shen Xibing, Wei Rong, Yang Yi
openaire   +1 more source

An efficient image retrieval system for remote sensing images

2016 International Conference on Circuit, Power and Computing Technologies (ICCPCT), 2016
RGIRS (Remote Geo-system Image Retrieval System) is a system of retrieving similar image using image features like color feature, texture feature and shape feature. Content based image retrieval system extracts features relevant to query image using feature extraction method.
B Ankayarkanni, A Ezil Sam Leni
openaire   +1 more source

Fuzzy Semantic Retrieval of Distributed Remote Sensing Images

2006 International Conference on Computational Intelligence and Security, 2006
Because of the surprisingly increasing volume and semantically fuzzy nature of remote sensing images (RSIs), one of the main obstacles to realize efficient retrieval of the RSIs is the lack of effective sharing technologies and semantic description methods. In this paper, we present a fuzzy ontology and implement a prototype grid system named RSIsFGrid
Heng Sun, Shixian Li, Wenjun Li, Xiaoyong Mei   +3 more
openaire   +1 more source

Retrieving Images for Remote Sensing Applications

2006
A unique way in which content based image retrieval (CBIR) for remote sensing differs widely from traditional CBIR is the widespread occurrences of weak textures. The task of representing the weak textures becomes even more challenging especially if image properties like scale, illumination or the viewing geometry are not known.
Neela Sawant, Sharat Chandran, B. Krishna Mohan   +2 more
openaire   +1 more source

Remote Sensing Image Retrieval Based on Attribute Profiles

2015 International Conference on Computer Science and Mechanical Automation (CSMA), 2015
In recent years, many approaches based on mathematical morphology have been applied in remote sensing image processing. In the paper, we proposed to use attribute profiles (APs) for textural extraction to the problem of content-based image retrieval (CBIR).
Qian Song, Rui Huang, Kouzhun Wang
openaire   +1 more source

Circular Relevance Feedback for Remote Sensing Image Retrieval

IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018
Relevance feedback (RF) is a popular reranking technique, which aims at improving the performance of image retrieval by taking the user's opinions into account. In this paper, we introduce a new RF method, named circular relevance feedback (CRF), to enhance the behavior of remote sensing image retrieval (RSIR).
Xu Tang, Xiangrong Zhang, Fang Liu, Licheng Jiao   +3 more
openaire   +1 more source

Study on content-based remote sensing image retrieval

Proceedings. 2005 IEEE International Geoscience and Remote Sensing Symposium, 2005. IGARSS '05., 2005
Some basic issues on content-based remote sensing image retrieval are discussed in this paper. The framework, processing flow and levels are proposed based on theory of CBIR and characteristics of RS image. Oriented to the practical demands, five retrieval patterns including template-based, attribute-based, metadata-based, semanteme-based and ...
null Peijun Du, null Yunhao Chen, null Hong Tang, null Tao Fang   +3 more
openaire   +1 more source

Remote Sensing Image Retrieval by Scene Semantic Matching

IEEE Transactions on Geoscience and Remote Sensing, 2013
This paper proposes a remote sensing (RS) image retrieval scheme by using image scene semantic (SS) matching. The low-level image visual features (VFs) are first mapped into multilevel spatial semantics via VF extraction, object-based classification of support vector machines, spatial relationship inference, and SS modeling.
Min Wang, Tengyi Song
openaire   +1 more source

Reflectance Retrieval from Lunar Surface Remote Sensing Image

2008 China-Japan Joint Microwave Conference, 2008
This paper presents a method for reflectance retrieval from lunar surface remote sensing image. At first, shadow are judged in lunar surface remote sensing image using corresponding DEM for remote sensing image and solar orientation. Then, all pixels can be divided into two kinds of pixels with shadow and pixels without shadow.
Li Xianhua, Zeng Qihong, Luo Qingzhou, Huang Rui, Shi Xiangyong   +4 more
openaire   +1 more source