XXII ISPRS Congress 2012: Technical Commission VIII

Shortis, M.; Shimoda, H.; Cho, K.

Bibliographic data

Multivolume work

Persistent identifier:: 1663813779

Title:: XXII ISPRS Congress 2012

Sub title:: Melbourne, Australia, 25 August-1 September 2012

Year of publication:: 2013

Place of publication:: Red Hook, NY

Publisher of the original:: Curran Associates, Inc.

Identifier (digital):: 1663813779

Language:: English

Additional Notes:: Kongress-Thema: Imaging a sustainable future

Corporations:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Adapter:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Founder of work:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Other corporate:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Document type:: Multivolume work

Volume

Persistent identifier:: 1663822514

Title:: Technical Commission VIII

Scope:: 590 Seiten

Year of publication:: 2014

Place of publication:: Red Hook, NY

Publisher of the original:: Curran Associates, Inc.

Identifier (digital):: 1663822514

Illustration:: Illustrationen, Diagramme

Signature of the source:: ZS 312(39,B8)

Language:: English

Additional Notes:: Erscheinungsdatum des Originals ist ermittelt.; Literaturangaben

Usage licence:: Attribution 4.0 International (CC BY 4.0)

Editor:: Shortis, M.; Shimoda, H.; Cho, K.

Corporations:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Adapter:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Founder of work:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Other corporate:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Publisher of the digital copy:: Technische Informationsbibliothek Hannover

Place of publication of the digital copy:: Hannover

Year of publication of the original:: 2019

Document type:: Volume

Collection:: Earth sciences

Chapter

Title:: [VIII/6: Agriculture, Ecosystems and Bio-Diversity]

Document type:: Multivolume work

Structure type:: Chapter

Chapter

Title:: ESTIMATION OF VEGETATION HEIGHT THROUGH SATELLITE IMAGE TEXTURE ANALYSIS Z. I. Petrou, C. Tarantino, M. Adamo, P. Blonda, M. Petrou

Document type:: Multivolume work

Structure type:: Chapter

X-B8, 2012 sures able to cap- nd provide an ac- ound. The patches ^H are detected in at map. For these alculated on a per ue in the pixels of 1yte patches these than those for the larger heterogene- r all bands of the criminatory capa- ire of energy, local d in the calculated riations in texture el of the selected bod is considered. dow of predefined ' the pixel intensi- ened to the central eaningful on a per alues of the pixels n of the intra-patch e patch vegetation Juickbird bands. ntropy-based mea- ed in information rms, an indication ise, heterogeneous arded, as the ones to have higher en- Similarly to vari- n a per pixel basis. calculated in a sur- de (1) intensities, or gray quency of appear- the number of pix- ber of pixels of the on the one hand, to increase spatial «ture. On the other statistical analysis, xugh further quan- > decreases. As an pixels, the image s, so that we have n forming the his- ‘wo schemes were ing requantized to y requantized indi- 1all neighborhood 5 variations in the International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XXXIX-B8, 2012 XXII ISPRS Congress, 25 August — 01 September 2012, Melbourne, Australia Figure 1: LPH/MPH and TPH habitats in Le Cesine protected site. extent of a larger surrounding area, we introduce the Local En- tropy Ratio (LER) measure. Two concentric windows of different sizes are considered around each pixel. A local entropy value is extracted for each window, H; and H, for the inner and outer windows, respectively, and their ratio Hi o LER = (2) is assigned to the central pixel. The smaller the ratio, the more homogeneous the close neighborhood of the central pixel, com- pared with its broader surroundings. Two versions of the measure are produced: in the first case, the pixels of the small window are included in the calculation of the entropy of the large one, while in the second a more unbiased approach is offered by excluding the pixels of the inner window from the entropy calculation of the outer one. A point of particular importance in the latter case is that the outer window should be large enough to allow for sensi- ble statistical analysis. Therefore, since a statistically meaningful number of pixels has to be at least one order of magnitude larger than the number of gray levels, in case of image quantization in eight gray levels and a small window size of 9 x 9 pixels, a large window of a minimum dimension of 13 x 13 pixels needs to be created around the central pixel, thus having 169—81 — 88 pixels after the exclusion of the central window. As previously, quanti- zation can be performed for either the whole region or separately for each window. 3.4 Local Binary Patterns Local binary patterns (Petrou and García-Sevilla, 2006) are also tested in capturing local changes in texture. As all previous mea- sures, local binary patterns are computed on a per pixel basis. For each pixel, its surrounding pixels in a circle of predefined radius are considered. Each such pixel is flagged with a value of 1 if it is larger than the central pixel, or 0 otherwise. Scanning the sur- rounding pixels in a clockwise order, a binary number is formed from their assigned values. This number is converted to the dec- imal system and assigned to the central pixel. The value of the measure for a specific patch is calculated through averaging the resultant pixel values for all pixels of the patch. The measure can be converted to rotation invariant if all possi- ble binary numbers, formed by changing the starting point of the clockwise counting for each pixel, are considered, and the largest or smallest of them is finally assigned to the central pixel. Homo- geneous regions are expected to be characterized, in general, by smaller binary numbers than heterogeneous regions, since more

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