A Novel Content Based Hyperspectral Image Retrieval System Based on Bag of End Members

Date

2016-05-19

Author

Omruuzun, Fatih
Demir, Begum
Bruzzone, Lorenzo
Çetin, Yasemin

Metadata

Show full item record

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Item Usage Stats

164
views

0
downloads

This paper proposes a bag of end members based novel method for content-based hyperspectral image retrieval. The proposed system exploits high resolution spectral signatures of the distinct materials in the hyperspectral images and consists of two steps. In the first step, query and archive hyperspectral images are represented with a feature vector computed by a novel bag of end members based feature extraction method. In the second step, the similarities between the feature vector of the query image and those of the archive images are initially computed by the use of histogram intersection kernel and then the most similar images are retrieved. The proposed system is tested on a hyperspectral image archive created from an EO-1 Hyperion hyperspectral sensor image. The experimental results show that the proposed system increases hyperspectral image retrieval performance.

Subject Keywords

Hyperspectral imaging, Content based retrieval, Feature extraction, Unmixing, Bag of end members

URI

https://hdl.handle.net/11511/53179

Conference Name

24th Signal Processing and Communication Application Conference (SIU)

Collections

Graduate School of Informatics, Conference / Seminar

Suggestions

OpenMETU
Core

CONTENT BASED HYPERSPECTRAL IMAGE RETRIEVAL USING BAG OF ENDMEMBERS IMAGE DESCRIPTORS Omruuzun, Fatih; Demir, Begum; Bruzzone, Lorenzo; Çetin, Yasemin (2016-08-24) This paper proposes a novel system for fast and accurate content based retrieval of hyperspectral images. The proposed system aims at retrieving hyperspectral images that have both similar spectral characteristics associated with specific materials and fractional abundances to the query image. It consists of two modules. The first module characterizes the query and the target hyperspectral images in the archive by two descriptors: 1) a binary spectral descriptor representing spectral characteristics of dist...
A Reconfigurable Microfluidic Transmitarray Unit Cell Erdil, Emre; Topalli, Kagan; Zorlu, Ozge; Toral, Taylan; YILDIRIM, ENDER; KÜLAH, HALUK; Aydın Çivi, Hatice Özlem (2013-04-12) This paper presents a novel microfluidics based approach to develop a reconfigurable circularly polarized transmitarray unit cell. The unit cell comprises double layer nested split ring slots formed as microfluidic channels that can be filled by fluids. Split regions in the slots are realized by injecting liquid metal into the channels. Beam steering is obtained by implementing rotational phase shifting via manipulating the liquid metal in the slots. X-band unit cell prototypes are fabricated on glass subst...
A NOVEL LEARNING-BASED IMAGE MATCHING APPROACH BASED ON MUTUAL NEAREST NEIGHBOR SEARCH WITH RATIO TEST Efe, Ufuk; Alatan, Abdullah Aydın; Department of Electrical and Electronics Engineering (2021-9-09) This thesis proposes a novel image matching method that utilizes learned features extracted by an off-the-shelf deep neural network to obtain a promising performance. The proposed method simply uses a pre-trained VGG architecture as a feature extractor and does not require any additional training to improve matching. Inspired by well-established concepts in the psychology area, such as the Mental Rotation paradigm, an initial warping step is also performed by the help of a preliminary geometric transformati...
An all-silicon process platfom for wafer-level vacuum packaged MEMS devices Torunbalci, Mustafa Mert; Gavcar, Hasan Dogan; Yesil, Ferhat; Alper, Said Emre; Akın, Tayfun (2021-01-01) This paper introduces a novel, inherently simple, and all-silicon wafer-level fabrication and hermetic packaging method developed for MEMS devices. The proposed method uses two separate SOI wafers to form highly-doped through-silicon vias (TSVs) and suspended MEMS structures, respectively. These SOI wafers are then bonded by Au-Si eutectic bonding at 400°C, achieving hermetic sealing and signal transfer without requiring any complex via or trench refill process steps. The package vacuum is measured u...
A neuro-fuzzy MAR algorithm for temporal rule-based systems Sisman, NA; Alpaslan, Ferda Nur; Akman, V (1999-08-04) This paper introduces a new neuro-fuzzy model for constructing a knowledge base of temporal fuzzy rules obtained by the Multivariate Autoregressive (MAR) algorithm. The model described contains two main parts, one for fuzzy-rule extraction and one for the storage of extracted rules. The fuzzy rules are obtained from time series data using the MAR algorithm. Time-series analysis basically deals with tabular data. It interprets the data obtained for making inferences about future behavior of the variables. Fu...

Citation Formats

F. Omruuzun, B. Demir, L. Bruzzone, and Y. Çetin, “A Novel Content Based Hyperspectral Image Retrieval System Based on Bag of End Members,” presented at the 24th Signal Processing and Communication Application Conference (SIU), Zonguldak, Turkey, 2016, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/53179.