isprs annals III 3 423 2016
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For the analysis, segments of point clouds from different heights along the stem were obtained from the tree stem. The segments were manually cleaned to only contain points
We first perform a simple pre-segmentation on the filtered image: the intensity image (the trace of the filtered covariance matrix) is computed and thresholded in order to sep-
We then generated PDFs of the scatterings derived from data observed using concrete blocks with different orientation an- gles, and from an ALOS/PALSAR image. Analysis of the PDFs
2.3.1 E-buffer based Approach: To understand the conceptual idea of using the e-buffer image for visibility analysis, the following processing is designed for hidden detection
Since the images should be smooth in the absence of noise, the (random and fixed pattern) noise in an image can be measured by estimating the local variance in each color channel
This paper introduces a new image-guided non-local dense matching algorithm that focuses on how to solve the following problems: 1) mitigating the influence of vertical parallax
Possible failure cases include: duplicate structures which are so dominant that they re- main in the same cluster until the image set is too fragmented – here it would potentially
Many paper have been submitted in these areas, ranging from low-level signal processing methods to improve image quality and correspondence, through new
