In this paper, we propose an unsupervised method for hyperspectral remote sensing image segmentation. The exploits the mean-shift clustering algorithm that takes as input a preliminary superpixels segmentation together with spectral pixel information. proposed does not require number of classes parameter, and it exploit any a-priori knowledge about type land-cover or land-use to be segmented (e...

This report describes a two-pass binocular stereo algorithm that is specifically geared towards the detection of depth discontinuities. In the rst pass, introduced in part I of the report, stereo matching is performed independently on each epipolar pair for maximum e ciency. In the second pass, described in part II, disparity information is propagated between the scanlines. Part I. Our stereo a...

The Landsat and Sentinel series satellites contain their own quality tagging data products, marking the source image pixel by with several specific semantic categories. These products generally categories such as cloud, cloud shadow, land, water body, snow. Due to lack of mid-wave thermal infrared bands, accuracy traditional detection algorithm is unstable when facing Chinese Gaofen-1/6 (GF-1/6...

Ecological changes affected by increasing human activities have highlighted the importance of ecological quality assessments. An appropriate and efficient selection parameters is fundamental for On basis remote sensing data methods, this study developed an enhanced evaluation index (EEEI) with five integrated containing pixel sub-pixel information: normalized difference vegetation index, imperv...

Multiplex Fluorescence In-Situ Hybridization (M-FISH) is a recently developed chromosome imaging method in which each chromosome is labelled with 5 fluors (dyes) and is also counterstained with DAPI. This paper proposes an automatic pixel by pixel classification algorithm for M-FISH images using a Bayes Classifier. The M-FISH pixel classification was approached as a 25 class 6 feature pattern r...

PURPOSE To develop an automated framework for accurate analysis of myocardial perfusion using first-pass magnetic resonance imaging. METHODS The proposed framework consists of four processing stages. First, in order to account for heart deformations due to respiratory motion and heart contraction, a two-step registration methodology is proposed, which has the ability to account for the global...