Texture Retrieval from VHR Optical Remote Sensed Images using the Local Extrema Descriptor with Application to Vineyard Parcel Detection

Minh Tân Pham 1, 2 Grégoire Mercier 1, 2 Olivier Regniers 1, 3, 2 Julien Michel 4
1 Lab-STICC_TB_CID_TOMS
Lab-STICC - Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance
Abstract : In this article, we develop a novel method for the detection of vineyard parcels in agricultural landscapes based on very high resolution (VHR) optical remote sensing images. Our objective is to perform texture-based image retrieval and supervised classification algorithms. To do that, the local textural and structural features inside each image are taken into account to measure its similarity to other images. In fact, VHR images usually involve a variety of local textures and structures that may verify a weak stationarity hypothesis. Hence, an approach only based on characteristic points, not on all pixels of the image, is supposed to be relevant. This work proposes to construct the local extrema-based descriptor (LED) by using the local maximum and local minimum pixels extracted from the image. The LED descriptor is formed based on the radiometric, geometric and gradient features from these local extrema. We first exploit the proposed LED descriptor for the retrieval task to evaluate its performance on texture discrimination. Then, it is embedded into a supervised classification framework to detect vine parcels using VHR satellite images. Experiments performed on VHR panchromatic PLEIADES image data prove the effectiveness of the proposed strategy. Compared to state-of-the-art methods, an enhancement of about 7% in retrieval rate is achieved. For the detection task, about 90% of vineyards are correctly detected.
Complete list of metadatas

Cited literature [21 references]  Display  Hide  Download

https://hal.archives-ouvertes.fr/hal-01311993
Contributor : Bibliothèque Télécom Bretagne <>
Submitted on : Wednesday, May 4, 2016 - 6:32:11 PM
Last modification on : Thursday, July 25, 2019 - 4:34:16 PM

File

remotesensing-08-00368.pdf
Publication funded by an institution

Identifiers

Citation

Minh Tân Pham, Grégoire Mercier, Olivier Regniers, Julien Michel. Texture Retrieval from VHR Optical Remote Sensed Images using the Local Extrema Descriptor with Application to Vineyard Parcel Detection. Remote Sensing, MDPI, 2016, 8 (368), pp.1 - 21. ⟨10.3390/rs8050368⟩. ⟨hal-01311993⟩

Share

Metrics

Record views

385

Files downloads

264