Texture in airborne SAR imagery of tropical forest and its relationship to forest regeneration stage

被引:41
作者
Luckman, AJ
Frery, AC
Yanasse, CCF
Groom, GB
机构
[1] UNIV FED PERNAMBUCO,DEPT INFORMAT,BR-50732970 RECIFE,PE,BRAZIL
[2] INST NACL PESQUISAS ESPACIAIS,DIV PROCESSAMENTO IMAGENS,S JOSE CAMPOS,SP,BRAZIL
[3] NATL ENVIRONM RES INST,DEPT LANDSCAPE ECOL,DK-8410 ROENDE,DENMARK
基金
英国自然环境研究理事会;
关键词
D O I
10.1080/014311697218458
中图分类号
TP7 [遥感技术];
学科分类号
081102 ; 0816 ; 081602 ; 083002 ; 1404 ;
摘要
At C-band, SAR imagery often exhibits little variation in mean amplitude between different types of natural land cover. However, there is frequently a large amount of information to be found in the textural properties of such imagery, especially when it is acquired at high spatial resolution. This textural information may be useful in observing processes that affect the homogeneity of land surface vegetation such as the staged succession of regenerating tropical forest following human disturbance which is characterized by the gradual decrease in canopy homogeneity as regrowth species are succeeded by hardwood species. In this study, three techniques of measuring the texture in C-band airborne SAR imagery from a tropical forest region in central Brazil are compared. The dependence of these measures on the stage of forest regeneration is assessed by using a temporal sequence of Landsat;TM imagery to independently estimate the age of regrowth. Each texture measure is able to discriminate well between mature forest and other classes of vegetation where the image amplitude alone cannot be used to make the same distinction. Further discrimination between different ages of regrowth appears possible but is difficult to demonstrate quantitatively because a satisfactory validation of regeneration age is difficult to achieve.
引用
收藏
页码:1333 / 1349
页数:17
相关论文
共 18 条
  • [1] CAVES RG, 1993, THESIS U SHEFFIELD S
  • [2] GROOM GB, 1993, P ESA SAREX 92 WORKS, P95
  • [3] GROVER KD, 1995, P IGARSS 95 FIR, P1210
  • [4] TEXTURAL FEATURES FOR IMAGE CLASSIFICATION
    HARALICK, RM
    SHANMUGAM, K
    DINSTEIN, I
    [J]. IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS, 1973, SMC3 (06): : 610 - 621
  • [5] HAWKINS RK, 1993, P ESA SAREX 92 WORKS, P41
  • [6] KILPELA E, 1990, ISPRS S GLOB ENV MON, P333
  • [7] LUCAS RM, 1993, INT J REMOTE SENS, V14, P3016
  • [8] EVALUATION OF THE GREY-LEVEL CO-OCCURRENCE MATRIX METHOD FOR LAND-COVER CLASSIFICATION USING SPOT IMAGERY
    MARCEAU, DJ
    HOWARTH, PJ
    DUBOIS, JMM
    GRATTON, DJ
    [J]. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 1990, 28 (04): : 513 - 519
  • [9] Oliver C. J., 1994, Proceedings of the SPIE - The International Society for Optical Engineering, V2316, P80, DOI 10.1117/12.197528
  • [10] INFORMATION FROM SAR IMAGES
    OLIVER, CJ
    [J]. JOURNAL OF PHYSICS D-APPLIED PHYSICS, 1991, 24 (09) : 1493 - 1514