Proceedings of Symposium on Remote Sensing and Photo Interpretation: Proceedings of Symposium on Remote Sensing and Photo Interpretation

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Multivolume work

Persistent identifier:: 842147969

Title:: Proceedings of Symposium on Remote Sensing and Photo Interpretation

Sub title:: October 7 - 11, 1974, Banff, Alberta, Canada

Year of publication:: 1974

Place of publication:: Ottawa, Ontario

Publisher of the original:: Canadian Inst. of Surveying

Identifier (digital):: 842147969

Language:: German

Other Title:: Nebentitel: Proceedings : Symposium on Remote Sensing and Photo Interpretation

Corporations:: Symposium on Remote Sensing and Photo Interpretation, 1974, Banff, Alberta; International Society for Photogrammetry, Commission Interpretation of Data; Canadian Institute of Surveying

Adapter:: Symposium on Remote Sensing and Photo Interpretation, 1974, Banff, Alberta; International Society for Photogrammetry, Commission Interpretation of Data; Canadian Institute of Surveying

Founder of work:: Symposium on Remote Sensing and Photo Interpretation, 1974, Banff, Alberta; International Society for Photogrammetry, Commission Interpretation of Data; Canadian Institute of Surveying

Other corporate:: Symposium on Remote Sensing and Photo Interpretation, 1974, Banff, Alberta; International Society for Photogrammetry, Commission Interpretation of Data; Canadian Institute of Surveying

Document type:: Multivolume work

Volume

Persistent identifier:: 842148353

Title:: Proceedings of Symposium on Remote Sensing and Photo Interpretation

Sub title:: October 7 - 11, 1974, Banff, Alberta, Canada

Scope:: VII Seiten, Seiten 469 - 878

Year of publication:: 1974

Place of publication:: Ottawa, Ontario

Publisher of the original:: Canadian Inst. of Surveying

Identifier (digital):: 842148353

Illustration:: Illustrationen, Diagramme, Karten

Signature of the source:: T 15 B 1306

Language:: German

Additional Notes:: Literaturangaben

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

Corporations:: Symposium on Remote Sensing and Photo Interpretation, 1974, Banff, Alberta; International Society for Photogrammetry, Commission Interpretation of Data; Canadian Institute of Surveying

Adapter:: Symposium on Remote Sensing and Photo Interpretation, 1974, Banff, Alberta; International Society for Photogrammetry, Commission Interpretation of Data; Canadian Institute of Surveying

Founder of work:: Symposium on Remote Sensing and Photo Interpretation, 1974, Banff, Alberta; International Society for Photogrammetry, Commission Interpretation of Data; Canadian Institute of Surveying

Other corporate:: Symposium on Remote Sensing and Photo Interpretation, 1974, Banff, Alberta; International Society for Photogrammetry, Commission Interpretation of Data; Canadian Institute of Surveying

Publisher of the digital copy:: Technische Informationsbibliothek Hannover

Place of publication of the digital copy:: Hannover

Year of publication of the original:: 2015

Document type:: Volume

Collection:: Earth sciences

Chapter

Title:: INTERPRETATION AND ANALYSIS CHAIRMEN. - M. A. FONTANEL - G. HILDEBRANDT

Document type:: Multivolume work

Structure type:: Chapter

Chapter

Title:: PROBABILISTIC IDENTIFICATION KEYS. William H. Anderson

Document type:: Multivolume work

Structure type:: Chapter

830 METHODS Air Photo Identification Keys One part of the argument supporting the probabilistic key approach to air photo interpretation is made apparent by focusing attention on the problems of constructing a key only from raw photo-descriptive data of agricultural crops. As stated in the introduction section of this document, identification keys vary in form and style. The most useful keys are designed to assure that raw photo data are transformed into a key with a minimum of information loss. The nature of the raw descriptive data determines to a great extent the style of key which must be constructed in order to minimize the loss of information. In many instances particular to agricultural interpretation, for example, the construction of a probabilistic key is the only approach which does not require a simplification (sacrifice of information) of the raw photo-descriptive data. In order to illustrate this important point, and to promote an understanding of probabilistic keys in general, a hypo thetical "case study" example of two types of key construction is presented in the following sections. Hypothetical Example : The results of a densitométrie analysis of known agricultural land use classes is presented in Figure 1. For this example, we assume that the results shown in Figure 1 were obtained by measuring the positive transmission photographic densities of known fields in a training or ground truth area. The data constitute a sample of the "tones" which correspond to several land-cover types. For simplicity, the five land-cover categories are referred to as "crop" types. The plotting of basic descriptive data presented in Figure 1 is a prerequisite step common to all key construction endeavors, although subsequent events differ according to the type of key being constructed. Conventional Selective Elimination Key : If the decision is made to construct a conventional dichotomous-type key to the "crops" based on Figure 1 data, then the information must first be recognized into a comparison matrix (Figure 2). (The comparison matrix form of the data contains all of the information found in Figure 1 except for the frequency distribution aspect.) Using the comparison matrix, it is a straight forward matter to construct a conventional type, selective elimination key. Figure 3 illustrates one possible version. Even though all the information contained in Figure 2 was used to construct the key shown in Figure 3, the resultant "key" does not always lead to an unambiguous answer because of overlapping crop descriptions. According to Figure 3, a density measurement of .38 on 1000 degree day imagery (late spring) and .20 on 2000 degree day imagery (late summer) leads to either spring wheat or_ oats. (The designation "degree day" is a more precise way to "date" each image according to the current growing OCCURENCES

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