Open Access Open Access  Restricted Access Subscription Access

A Look at the Different Content-Based Remote Sensing Image Retrieval Methods

Aswath Raj

Abstract


Content based remote detecting picture recovery (CBRSIR) is a developing field. The science of remote sensing is the process of measuring a part's reflected and emitted radiations without making any physical contact with the object in question to identify and monitor its physical characteristics. Active and passive remote sensing are the two types of technologies used for remote sensing. Active sensors in active remote sensing technologies release energy to scan objects and targeted areas. A sensor then detects and measures the reflected radiation. Uninvolved sensors recognize regular energy or radiation that is produced or reflected by the scene or article being noticed. Data can be easily collected at a variety of scales and resolutions thanks to remote sensing. Based on their features, CBRSIR processes are divided into three categories: low level, mid-level, and deep features. This paper provides a summary of CBRSIR. Agriculture, disaster rescue, land surveying, and other fields are the most common uses of remote sensing.


Full Text:

PDF

References


Zhu X., Li M., Guo W., Zhang X. Semantic-Based User Demand Modeling for Remote Sensing Images Retrieval. IEEE. 2012.

Tang X., Zhang X., Liu F., Jiao L. Circular Relevence Feedback for Remote Sensing Image Retrieval. IEEE. 2018.

Song Q., Huang R., Wang K. Remote Sensing Image Retrieval Based on Attribute Profiles. IEEE. 2015.

Chen C.M.F., Duan J.L.J. An Improved SVM+GA Relevance Feedback Model in the Remote Sensing Image Change Information Retrieval. IEEE. 2018.

Liu J., Liu S. Semantic Retrieval for Remote Sensing Images Using Association Rules Mining. IEEE. 2015.

Demir B., Bruzzone L. Kernal-Based Hashing for Content Based Image Retrieval In Large Remote Sensing Data Archives. IEEE. 2014.

An effective Active Learning Method for Interactive Content Based Retrieval in Remote Sensing Images. IEEE. 2013.

Dai O.E., Bruzzone D.L., Sankur B. A Novel system For Content Based Retrieval of Multi-Label Remote Sensing images and Local Binarization Technique. International Journal of Information and Electronics Engineering. Vol. 4, No. 1, January


Refbacks

  • There are currently no refbacks.