MARC details
| 000 -LEADER |
| fixed length control field |
04915nam a22004815i 4500 |
| 001 - CONTROL NUMBER |
| control field |
978-0-387-44439-0 |
| 003 - CONTROL NUMBER IDENTIFIER |
| control field |
DE-He213 |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
| control field |
20250710083959.0 |
| 007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION |
| fixed length control field |
cr nn 008mamaa |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
| fixed length control field |
100301s2006 xxu| s |||| 0|eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
| International Standard Book Number |
9780387444390 |
| -- |
99780387444390 |
| 024 7# - OTHER STANDARD IDENTIFIER |
| Standard number or code |
10.1007/978-0-387-44439-0 |
| Source of number or code |
doi |
| 082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER |
| Classification number |
333.7 |
| Edition information |
23 |
| 100 1# - MAIN ENTRY--PERSONAL NAME |
| Personal name |
Myers, Wayne L. |
| Relator term |
author. |
| 245 10 - TITLE STATEMENT |
| Title |
Pattern-Based Compression of Multi-Band Image Data for Landscape Analysis |
| Medium |
[recurso electrónico] / |
| Statement of responsibility, etc. |
by Wayne L. Myers, Ganapati P. Patil. |
| 264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE |
| Place of production, publication, distribution, manufacture |
Boston, MA : |
| Name of producer, publisher, distributor, manufacturer |
Springer US, |
| Date of production, publication, distribution, manufacture, or copyright notice |
2006. |
| 300 ## - PHYSICAL DESCRIPTION |
| Extent |
XVII, 186 p. |
| Other physical details |
online resource. |
| 336 ## - CONTENT TYPE |
| Content type term |
text |
| Content type code |
txt |
| Source |
rdacontent |
| 337 ## - MEDIA TYPE |
| Media type term |
computer |
| Media type code |
c |
| Source |
rdamedia |
| 338 ## - CARRIER TYPE |
| Carrier type term |
recurso en línea |
| Carrier type code |
cr |
| Source |
rdacarrier |
| 347 ## - DIGITAL FILE CHARACTERISTICS |
| File type |
text file |
| Encoding format |
PDF |
| Source |
rda |
| 490 1# - SERIES STATEMENT |
| Series statement |
Environmental and Ecological Statistics ; |
| Volume/sequential designation |
2 |
| 505 0# - FORMATTED CONTENTS NOTE |
| Formatted contents note |
Innovative Imaging, Parsing Patterns and Motivating Models -- Pattern Progressions and Segmentation Sequences for IMAGE Intensity Modeling and Grouped Enhancement -- Collective and Composite Contrast for Pattern Pictures -- Content Classification and Thematic Transforms -- Comparative Change and Pattern Perturbation -- Conjunctive Context -- Advanced Aspects and Anticipated Applications. |
| 520 ## - SUMMARY, ETC. |
| Summary, etc. |
Pattern-Based Compression of Multi-Band Image Data for Landscape Analysis describes an integrated approach to using remotely sensed data in conjunction with geographic information systems (GIS) for landscape analysis. Remotely sensed data are compressed by compound segmentation so that the first level is an image-like raster map for GIS, and a second level affords approximate restoration. Pattern processing is implemented in software by PSIMAPP Progressively Segmented Image Modeling As Poly-Patterns. There are seven notable areas of advantage in this approach: Controlling and creating contrast for pictorial presentations. Classifying content for constructing categorical maps. Whereas digital image data are usually directed toward algorithmic assignment of image elements to candidate categories of content, this approach is equally applicable to assisting interactive interpretive assignment by a human analyst. Detecting difference between instances of imaging. Whereas conventional change detection is done in the signal domain, this approach supports dual pattern matching in signal and spatial domains. Advantage in contextual considerations. Having parsed patterns into collective components allows analysts to conduct comparatives in multiple modes. The components can be combined according to signal similarities and proximate positioning to generate generalized images that portray progressively more prominent patterning. The patterns can be treated as multivariate trends for removal to reach residuals that are regionalized in accordance with scenarios of spatial statistics. An entirely new arena of analysis is posed by pattern profiles of cumulated components over blocks at several scales. Compositional components of complexes can be considered in terms of chromaticity or ratio relations among signal sets by partial ordering and rank range runs. Informational compression for conveyance by computer media. The poly-pattern models occupy the equivalent of two single-byte signal bands along with tables of pattern properties. Although approximation in restoration might appear to be a drawback, it leads to the sixth aspect of advantage. Digital image data are often proprietary with strictures on distribution. Since the poly-pattern models do not provide capability for complete restoration, and in view of their numerous advantages, they become substantially different derivative products in much the same manner as a thematic map. Therefore, most of the proprietary concerns relative to the original data should be obviated. The interface between image analysis and GIS. GIS provides the popular platform for utilization of geo-spatial information. Since relatively few of the regular GIS users are image analysts, poly-pattern packaging facilitates broader access to image-based information. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
| Topical term or geographic name entry element |
ENVIRONMENTAL SCIENCES. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
| Topical term or geographic name entry element |
REMOTE SENSING. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
| Topical term or geographic name entry element |
LANDSCAPE ECOLOGY. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
| Topical term or geographic name entry element |
STATISTICS. |
| 650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM |
| Topical term or geographic name entry element |
ENVIRONMENT. |
| 650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM |
| Topical term or geographic name entry element |
ENVIRONMENT, GENERAL. |
| 650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM |
| Topical term or geographic name entry element |
REMOTE SENSING/PHOTOGRAMMETRY. |
| 650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM |
| Topical term or geographic name entry element |
LANDSCAPE ECOLOGY. |
| 650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM |
| Topical term or geographic name entry element |
STATISTICS FOR LIFE SCIENCES, MEDICINE, HEALTH SCIENCES. |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
| Personal name |
Patil, Ganapati P. |
| Relator term |
author. |
| 710 2# - ADDED ENTRY--CORPORATE NAME |
| Corporate name or jurisdiction name as entry element |
SpringerLink (Online service) |
| 773 0# - HOST ITEM ENTRY |
| Title |
Springer eBooks |
| 776 08 - ADDITIONAL PHYSICAL FORM ENTRY |
| Relationship information |
Printed edition: |
| International Standard Book Number |
9780387444345 |
| 830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE |
| Uniform title |
Environmental and Ecological Statistics ; |
| Volume/sequential designation |
2 |
| 856 40 - ELECTRONIC LOCATION AND ACCESS |
| Uniform Resource Identifier |
<a href="http://dx.doi.org/10.1007/978-0-387-44439-0">http://dx.doi.org/10.1007/978-0-387-44439-0</a> |
| Public note |
Ver el texto completo en las instalaciones del CICY |
| 912 ## - |
| -- |
ZDB-2-EES |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
| Source of classification or shelving scheme |
Dewey Decimal Classification |
| Koha item type |
Libros electrónicos |