Skip to Main content Skip to Navigation
Conference papers

Unsupervised marked point process model for boat extraction in harbors from high resolution optical remotely sensed images

Abstract : Marked point process models have been successfully used in image analysis for feature extraction purposes in high resolution remotely sensed images. The model is usually based on two types of energy terms: a data term, which reflects the configuration's fidelity with respect to the input image, and a prior term, which reflects some knowledge about the objects to be extracted. In this paper, we deal with the problem of elliptical shape extraction. We propose new energy terms for the extraction of boats in harbors, which is a particularly difficult problem and we show results on high resolution optical images.
Complete list of metadata

Cited literature [8 references]  Display  Hide  Download

https://hal.inria.fr/hal-00867585
Contributor : Paula Craciun <>
Submitted on : Monday, September 30, 2013 - 11:28:52 AM
Last modification on : Saturday, January 27, 2018 - 1:31:39 AM
Long-term archiving on: : Tuesday, December 31, 2013 - 4:25:21 AM

File

ICIP_13.pdf
Files produced by the author(s)

Identifiers

  • HAL Id : hal-00867585, version 1

Collections

Citation

Paula Craciun, Josiane Zerubia. Unsupervised marked point process model for boat extraction in harbors from high resolution optical remotely sensed images. IEEE ICIP - International Conference on Image Processing, Sep 2013, Melbourne, Australia. ⟨hal-00867585⟩

Share

Metrics

Record views

341

Files downloads

521